Social Sciences

Abstract: This article examines whether global value added is better explained by territorial scale, sectoral specialization, time, or the configuration that emerges when specific sectors are embedded in specific economies. Using the OECD Trade in Value Added (TiVA) 2025 edition for 1995–2022, the study applies a hypothetico-deductive design to a clean panel of individual economies and ISIC section sectors. The empirical strategy combines fixed-effect variance decomposition, transformation robustness, sectoral-share analysis, principal component analysis, cluster validation, concentration indicators, structural-change measures, and external robustness tests using World Bank WDI covariates. The evidence shows that economy, sector, and year effects are all relevant, but the economy-sector configuration carries the strongest explanatory weight. Controls for GDP, population, GDP per capita, and trade openness confirm that observed differences are not reducible to economic size. More demanding economy-sector fixed-effect models also indicate that sectoral composition remains informative after persistent pair-specific heterogeneity and global year shocks are absorbed. The article contributes to global value-chain and structural-transformation research by showing that value-added heterogeneity is primarily territorial-sectoral: it arises from the way sectors are organized within particular economies.

Abstract: The rapid growth of social media has transformed how individuals’ access, consume, and share information. While these platforms have improved the speed and accessibility of communication, they have also encouraged reading behaviours characterised by rapid scanning, superficial engagement, and immediate reactions. As a result, users frequently overlook information that is clearly presented, ask questions that have already been answered, and form opinions without fully engaging with the original content. Existing research has largely explained these behaviours through concepts such as information overload, cognitive load, misinformation, and digital literacy. However, these concepts do not adequately explain why individuals consistently fail to engage with information that is readily available despite having the opportunity and ability to do so, nor do they sufficiently consider how behavioural influence within digital environments reinforces this tendency. This paper addresses this gap by further developing and formalising Information Ignorance as a multidimensional theoretical construct within information-behaviour scholarship. Drawing on Information Overload Theory, Cognitive Load Theory, Dual Process Theory, Information Foraging Theory, the Attention Economy, and Social Engineering Theory, the paper develops an integrated conceptual framework explaining how information overload, cognitive fatigue, heuristic processing, and social engineering interact to influence social media reading behaviour and subsequent behavioural outcomes. The study contributes to information behaviour literature by positioning Information Ignorance as a distinct construct that complements, rather than replaces, existing theories. It further extends the application of social engineering beyond its traditional cybersecurity context by demonstrating its role in shaping everyday information engagement on social media.

Abstract: Sus scrofa (wild boar), a native species in Catalonia, has been considered a pest for several decades due to its economic and social impacts, including road traffic accidents and agricultural damage. As a result, it is subject to control strategies that combine increased hunting pressure with measures aimed at reducing its reproductive capacity. In the context of exacerbated human-wild boar conflicts, including the 2025-2026 African swine fever outbreak, this article analyses the current Wild Boar Monitoring Programme in Catalonia and current population management strategies to assess their implications for human-wild boar coexistence. Based on data obtained through transparency requests to the Government of Catalonia covering the period of available official records, including programme reports, breeding facility records, and accident statistics, the article examines potential contradictions and broader socio-political processes in which the category of pest emerges from human management practices rather than purely ecological conditions.

Abstract: Abstract Smallholder farming systems in sub-Saharan Africa are highly heterogeneous, resulting in differences in farmers’ capacities, priorities, and responses to sustainable intensification (SI) innovations. This study assessed farmers’ perceptions of six SI innovations and evaluated their suitability across four farm typologies in Mtunthama Extension Planning Area, Central Malawi. A mixed-methods participatory approach involving focus group discussions, key informant interviews, and farmer-led innovation ranking was used across 44 trial farmers. Qualitative data were analysed using thematic content analysis, while preference rankings were converted into weighted standardised scores for comparison across farm types. Kruskal-Wallis tests were applied to assess whether maize grain yield differed significantly across farm typologies by treatment. Farmers generally perceived SI innovations positively, identifying improved yields, soil fertility, food security, dietary diversity, and climate resilience as major benefits. Labour requirements, input constraints, management complexity, and limited training were identified as key barriers. Innovation preferences differed across farm typologies, reflecting variations in household resource endowment and livelihood strategies. Although conventional ridging with continuous sole maize received the highest proportion of first-choice rankings, conservation agriculture incorporating legumes, particularly maize-cowpea double-row strip cropping, achieved the highest overall preference scores across farm types. Yield analysis revealed significant differences across farm typologies for CA Maize-Lablab Rotation (H = 9.823, p = 0.020) and Conventional Maize (H = 12.834, p = 0.005), with resource-constrained farmers consistently recording lower yields. Field days attended by 253 independent observers confirmed community-level preference for cowpea-based CA innovations, with maize-cowpea strip cropping receiving the highest vote share at both sites. Post-project follow-up revealed that 68 out of 253 field day observers (26.9%) independently adopted cowpea-based conservation agriculture in the following season, of whom 58.8% were women. Adoption was driven by the early maturity of the cowpea variety under climate variability and access to a ready vendor market. These findings demonstrate that integrating farm typology analysis with participatory innovation assessment and post-project tracking improves the targeting of SI interventions and supports the design of context-specific innovation packages more likely to achieve sustained adoption than blanket technology recommendations.

Abstract: Amenity migration and associated land-use changes are transforming working rangelands as new landowners with diverse stewardship objectives increasingly manage smaller, fragmented properties. Explanations of stewardship outcomes often emphasize individual knowledge and capacity while giving less attention to the broader social–ecological conditions affecting private-land sustainability. This study examines whether landowners’ perceptions of wildlife stewardship align with size-adjusted native mammal richness and identifies processes associated with alignment and misalignment. We combined camera-trap observations and semi-structured interviews from 12 wildlife-oriented properties with findings from broader focus groups conducted with Land Steward Amenity Migrants in Texas rangelands. Perceptions and the ecological indicator were misaligned in 75% of cases, with overestimation occurring most frequently. Qualitative analysis associated these patterns with self-referential evaluation processes, limited ecological feedback, institutional guidance mismatched with property scale, and limited relational networks for learning and comparison. These findings indicate that variation in perceived and observed stewardship outcomes cannot be understood through individual capacity alone but reflects interacting individual, ecological, institutional, and relational processes operating across scales. Supporting the long-term sustainability and resilience of fragmented rangelands therefore requires guidance suited to smaller properties, cross-boundary ecological strategies, and stronger opportunities for relational learning and coordination.

Abstract: Reconnecting people with the rest of nature is increasingly identified as a deep leverage point for sustainability, because nature connectedness (NC) predicts pro-environmental behaviour and human well-being simultaneously. Yet the mechanisms through which NC actually changes remain poorly specified, which limits the design of effective interventions, and dominant measures overlook the embodied, perceptual and relational dimensions of everyday connectedness. NC research also rarely makes its own epistemological standpoint explicit, and so risks reproducing the subject–object separation that sustainability transformations seek to unsettle. We address both problems through chiasm—Merleau-Ponty’s conceptualisation of perception as simultaneously active and passive—used as theory and as methodology. We conducted a 30-day quasi-experimental intervention with 55 university students in Shiraz, Iran (27 intervention, 28 control), a non-WEIRD, place-rich context in which culturally transmitted practices of perception such as tamāšā (‘watching while walking’) already carry chiastic qualities. Participants shared daily nature experiences in small mobile messaging groups across five thematic modules (senses, beauty, emotion, meaning, compassion). Nature relatedness, pro-environmental behaviour, psychological well-being and mindfulness were measured on days 0, 15 and 30 as the ‘outside view’; participants’ shared experiences were coded for chiastic structure as the ‘inside view’. Chiastic experiences increased significantly across the intervention, as did nature relatedness, pro-environmental behaviour, well-being and mindfulness relative to controls. Chiasm offers a plausible relational mechanism for NC change and a low-cost, culturally grounded and scalable intervention format that advances human well-being and sustainable behaviour together, contributing to SDGs 3, 12, 13 and 15.

Abstract: Background: Food swamps, which have a high density of outlets selling unhealthy food relative to healthier options, are a major driver of diet-related disparities in urban communities. However, no validated food swamp measurement tools exist at the neighborhood level. Methods: We developed the Food Swamp Environment Audit Tool (FS-EAT) using community-based participatory research. FS-EAT includes 19 items as-sessing street-level food outlet types, accessibility features, food marketing, pricing, social features, and store-level information and food availability. Reliability and validity testing were performed using stakeholder surveys and feedback from the community advisory board (CAB). We compared secondary National Establishment Time Series (NETS) 2020 with FS-EAT food store data using positive predictive values and sensitivity scores. We computed Spearman's rank correlation coefficients to measure the alignment between block group-level food swamp and non-food swamp classifications, comparing FS-EAT data with NETS 2020 data. Results: Interrater reliability was strong (κ = 0.82), and 80% of stakeholders rated FS-EAT items as relevant/extremely relevant. CAB members con-firmed that FS-EAT maps aligned better with lived experiences than the secondary NETS data. GIS analyses showed that FS-EAT maps captured more accurate and timely food swamp exposure compared to NETS. When validated against the NETS 2020 business list, the FS-EAT demonstrated an overall sensitivity of 45.3% and a PPV of 68.2%. We con-firmed fewer than half of NETS-listed outlets through FS-EAT ground observation, yet more than two-thirds of audit-identified stores were also present in the NETS database. Sensitivity was highest for convenience stores (74.4%) and lowest for limited-service restaurants (29.2%). Resident perceptions were moderately correlated with FS-EAT scores (r = 0.5). While both sources agreed on the food swamp classification in 18 block groups, 15 block groups (38.5%) were classified as food swamps by the FS-EAT audit data but as non-food swamps by the NETS data. Discussion: The FS-EAT tool captures nuanced features needed to assess the level of neighborhood food swamp exposure and contributes a systematic, cost-effective way to identify neighborhood-level food swamps.

Abstract: This paper presents an improved approach to measuring monetary poverty using a fuzzy methodology, specifically the recent model proposed by Belhadj and Bounani (2023). Using data from the National Household Survey for the province of Trujillo, La Libertad, Peru, the study demonstrates that this method provides a more detailed and continuous assessment of monetary poverty levels than traditional binary classifications. The fuzzy framework captures the intensity of deprivation experienced by individuals or households by assigning different degrees of membership to each poverty indicator, allowing the identification of intermediate situations that conventional methods typically ignore. The results reveal the existence of individuals or households that are not officially categorized as poor but exhibit deprivation patterns similar to those of the poor population. Identifying these vulnerable groups is essential for designing more inclusive and effective public policies, as it helps populations at risk of falling into poverty and supports a more precise targeting of social programs. Overall, the fuzzy approach offers a more sensitive and realistic representation of poverty dynamics in the study area, providing valuable information for decision-makers seeking to improve poverty-reduction strategies.

Abstract: This article examines plot as a mode of organizing individual and collective experience. It proceeds from the assumption that human beings do not merely register events but connect them into narrative structures: they identify agents, attribute intentions to them, establish causal relationships, and form expectations concerning possible resolutions. The article aims to develop a conceptual model linking the problem of plot finitude with narrative identity, political myth, and the practical exercise of human freedom.Rather than attempting to compile an exhaustive catalog of folkloric, mythological, and other plots, the article advances the hypothesis of a finite plot grammar whose elements permit a multiplicity of cultural and biographical combinations. As a working classification, it distinguishes four global processes—the birth of a world, the destruction of a world, return, and salvation. Their subdivision into sixteen plot families and three scales of instantiation produces a matrix of 48 positions. This matrix is explicitly presented as an original theoretical construct rather than an empirically validated universal classification.To describe the persistence of plot-based interpretations, the article introduces the concepts of the inter-plot barrier, inter-plot liminality, and narrative hysteresis. These concepts function as heuristic metaphors for examining the cognitive, emotional, identity-related, and social difficulties involved in transitioning to a different system of meaning. A distinction is proposed between intra-plot freedom—the choice of actions within an accepted story—and inter-plot freedom, which involves reconsidering the very framework within which choices are made. The creative transformation of a plot is understood as a change in the rules by which familiar roles, conflicts, and resolutions are integrated into a meaningful whole.

Abstract: Digital traces are increasingly used as alternatives to self-reports in research on human attributes. Emails, collaboration platforms, device logs, and wearable sensors appear to provide continuous, behaviourally grounded access to constructs such as engagement, stress, productivity, and turnover intentions. This article argues that the apparent shift from subjective reports to objective behaviour is conceptually misleading: a digital record is neither the behaviour that generated it nor the construct attributed to a person. It re-constructs an algorithmic measurement pipeline linking the target construct, context, behaviour, recording system, digital record, computational representation, training label, model output, and interpreted measurement claim. The analysis identifies four inferential gaps: recording, representation, proxy-label, and interpretation. It also formulates the invasive proxy paradox: a method presented as a more objective substitute for self-report may be more intrusive while remaining epistemically dependent on self-report labels. The article proposes a dual-warrant framework, according to which legitimate algorithmic measurement requires both epistemic warrant for construct interpretation and normative warrant for evidence generation and use. The employee-engagement case demonstrates how surveillance and power asymmetries can undermine both warrants by altering the behaviour from which data are generated.

Abstract: This study aims to forecast South Africa’s import demand for cassava starch using monthly data from April 2015 to December 2030. It applies Augmented Dickey-Fuller (ADF) to verify the stationarity of the series, while the Akaike criterion and Schwarz criterion were utilized to select the fitted model of ARIMA (p, d, q). The series were integrated of order one, and the best-fitted model was ARIMA (0,1,2). Thereafter, the Box-Jenkins estimation strategy was used to forecast the import demand for cassava starch. The forecasted import demand for cassava starch showed a steady increase in quantity, with an annual average import demand of 12 032 tons between 2025 and 2030. Given South Africa’s rising cassava starch imports, we endeavored to forecast demand thereof, considering the absence of commercial cassava production and processing in the country. This is the first empirical study to offer a thorough forecasting of the rising trend in Southern Africa’s demand for cassava starch imports. To manage the growing demand for cassava starch in South Africa, policymakers should consider medium- to long-term interventions to further develop the value chain. The most urgent and critical need is to fund research and development (R&D) for the advancement of the cassava value chain, as well as to establish phytosanitary-certified nurseries for producers to access high-quality planting materials.

Abstract: Early childhood children (0–5 years old) are using digital devices at an ever-increasing rate, yet the evidence base is largely dominated by developmental psychology studies with minimal consideration of class, culture, and institutional aspects of digital use. No equity-aware synthesized evidence exists that provides recommendations for early childhood education programs at higher education Centres for Teaching and Learning (CTLs). A systematic review and meta-analysis was conducted using academic papers published between January 1995 and December 2025. Using Comprehensive Meta‑Analysis (Version 3), random‑effects models, subgroup analyses, meta‑regression, and tests for publication bias were implemented. Thirty‑one studies including 34,540 children were selected. Unmediated solo usage had a negative relationship with children’s outcomes (r = −0.287, 95% CI [−0.320, −0.253]), whereas active co‑use was positively related (r = 0.259, 95% CI [0.217, 0.300]). Socioeconomic status was not a significant moderator (p = 0.182). Outcomes for language (p = 0.876), social‑emotional development (p = 0.391), and cognitive/executive function (p = 0.692) were not statistically significant. There was no trend in effect size over time (b = −0.0097, p = 0.339). Publication bias appeared low (Egger’s p = 0.249; fail‑safe N = 405). Quality of mediation is key, not the amount of screen time. Although no significant SES moderation effects were found, the narrative literature showed class‑based differences in how children were mediated. Training of early childhood educators in CTLs is not yet evidence‑based nor equity‑focused, but the CTL Action Framework for Early Digital Education (CAFEDE) suggests practices for improving educator training.

Abstract: Short-form video (SFV) marketing has become a prominent format in digital advertising by combining compressed audiovisual storytelling, feed-based discovery, algorithmic visibility, and rapid audience interaction. This study examines how content- and creator-related factors shape consumers’ value-based responses to short-video marketing and how these responses influence purchase intention. Data were collected through an online survey of 409 respondents in Bulgaria. The analytical design integrates descriptive statistics, clustering, sentiment analysis, partial least squares structural equation modeling (PLS-SEM), and machine learning (ML) prediction to examine both explanatory relationships and predictive performance. From a business intelligence perspective, the proposed workflow transforms structured survey responses and open-ended consumer feedback into actionable insights for audience segmentation, consumer-response prediction, campaign prioritization, and e-commerce decision support. The final structural model treats creating shared values (CSV) as a value-based attitudinal response to SFV marketing. The results show that clarity, willingness to use, similarity, empathy, and likability positively affect CSV, which in turn positively affects purchase intention. The findings indicate that short videos are most persuasive when they communicate clearly, feel relatable, create emotional resonance, and reduce friction in audience engagement. ML models further suggest that the selected perception variables have strong predictive value for consumer responses in this sample. The study contributes to digital persuasion, e-commerce analytics, and business intelligence research by offering an integrated empirical framework for assessing short-video marketing effectiveness.

Abstract: Energy transitions increasingly depend on coordination across interdependent actors, infrastructures and practices. As electrification, sector coupling and decentralisation reshape energy systems, governance challenges have shifted from control-oriented delivery towards problems of interaction, responsibility and system coordination. Despite wide recognition of these dynamics, governance arrangements continue to struggle with persistent coordination failures across institutional contexts. This article argues that such difficulties cannot be explained as implementation problems or insufficient cooperation alone. Instead, coordination failures are conceptualised as manifestations of a mismatch between how energy systems function and how they are governed. The article distinguishes between supply-chain governance assumptions and energy systems operating as service networks, developing an analytical framework that makes this mismatch explicit. The analysis demonstrates how prevailing governance remains oriented towards linear responsibility and asset-based performance, even as outcomes increasingly depend on coordinated action and resource integration in use. Network-based governance arrangements are shown to represent partial adaptations that acknowledge interdependence without reconfiguring underlying governance logics. By foregrounding system logics rather than specific instruments, the article clarifies why coordination failures persist in sustainability transitions characterised by complex socio-technical interdependence.

Abstract: Contemporary social work continues to face a persistent tension between efforts to consolidate shared professional standards and the need to sustain epistemic plurality across diverse socio-political contexts. This tension is especially evident in organisational supports for practice research, which are often treated as neutral administrative arrangements despite their role in shaping whose knowledge is recognised, funded, translated and sustained. This paper develops polycentric indigenisation as a conceptual framework for rethinking organisational supports as epistemic infrastructures rather than merely technical supports for collaboration. Drawing on scholarship on practice research, indigenisation, epistemic justice and southern theory, the paper argues that prevailing support models remain constrained by a narrow legitimacy-participation binary. Some arrangements widen participation without redistributing epistemic authority, whilst others secure institutional legitimacy at the cost of subordinating inquiry to hierarchy, compliance or policy alignment. In response, the paper outlines a framework centred on distributed epistemic authority, situated translation, boundary critique and negotiated co-authorship. It identifies four directions for the development of organisational supports: authentic indigenisation, polycentric dialogue, contextualised critical autonomy and ethical co-creation. The paper concludes by considering implications for future research, policy and practice in international social work.

Abstract: In March 2022, the FAO Food Price Index peaked at 159.7 as climate shocks collided with geopolitical disruption, pushing global hunger past 735 million and exposing how deeply climate variability penetrates the economics of agri-food systems. Yet the imprint of ocean–atmosphere oscillations on global food prices—the central economic signal of the agri-food system—has never been mapped systematically in the frequency domain. This study delivers the first multi-oscillation cross-spectral analysis of the climate–food price nexus, matching seven climate indices across the Pacific, Atlantic, and Indian Ocean basins with five disaggregated FAO Food Price Index sub-components over 432 monthly observations (1990–2025), verified through six robustness checks including surrogate-data testing. Four findings carry direct policy relevance. ENSO indicators lead global food prices by three to four months with a 100% surrogate-test pass rate—the cleanest actionable climate–price signal yet documented. The Indian Ocean Dipole leads prices by sixteen months, extending the early warning horizon from weeks to over a year. The apparent Atlantic Multidecadal Oscillation–price correlation (r ≈ +0.60) is revealed to be a common-trend artefact. Dairy and vegetable oils emerge as the most climate-exposed commodity chains, while meat is buffered by feed-market intermediation. These results provide the empirical foundation for integrating real-time monitoring of climate oscillations into food system governance—a low-cost policy innovation that aligns economic stability objectives with climate adaptation goals, strengthens the resilience of agri-food value chains, and supports progress toward Sustainable Development Goal 2 (Zero Hunger).

Abstract: This study analyzes climate vulnerability and adaptive capacity in Mozambique, Malawi, and Madagascar from a gender perspective using survey data from 2,662 households. The Household Vulnerability Index was constructed using Principal Component Analysis. Cross-country and gender-group differences were assessed using ANOVA and Bonferroni post hoc tests, revealing significant cross-country disparities (p < 0.001). Mozambique exhibits the highest vulnerability severity and dispersion, driven by compound environmental exposure, elevated sensitivity, and constrained adaptive capacity. In contrast, Malawi — despite high physical exposure — presents the lowest overall vulnerability among the three countries, as stronger adaptive capacity offsets environmental risk. Madagascar occupies an intermediate position, with households clustered within the moderate vulnerability category, reflecting chronic sensitivity and limited adaptive capacity. While aggregated mean HVI scores are statistically identical between gender groups (F < 0.01; p = 0.980), categorical and variance analyses reveal heterogeneous distributions: male-headed households face direct occupational risk, whereas female-headed households contend with severe structural barriers to accessing adaptive resources. Agricultural extension services, institutional support, targeted training, climate-smart agriculture, and livestock assets constitute the primary drivers of resilience. These findings demonstrate that mean-based analyses mask gender disparities in vulnerability and highlight the need for context-specific, gender-responsive adaptation policies in Southern Africa.

Abstract: The rapid expansion of outdoor hiking activities has increased pressure on natural ecosystems, and environmentally irresponsible behaviors by hikers have become an important source of environmental degradation. However, limited attention has been paid to the mechanisms driving pro-environmental behavior among outdoor hiking participants. To overcome this limitation, an integrated framework combining TPB and PMT was established to investigate both pro-environmental intentions and subsequent environmental behaviors among outdoor hiking participants. A questionnaire survey was conducted among 1,092 outdoor hiking participants in Hubei Province, China, and the data were analyzed using structural equation modeling. Empirical findings revealed that favorable attitudes, social normative influences, perceived control, vulnerability perception, severity perception, self-efficacy, and response efficacy all contributed positively to the formation of pro-environmental intentions, whereas response cost exerts a significant negative effect. Behavioral intention and self-efficacy were found to significantly promote actual pro-environmental behavior. Furthermore, the integrated TPB–PMT model demonstrated greater explanatory power than either theory applied independently. These findings suggest that pro-environmental behavior among outdoor hiking participants is jointly shaped by social-psychological and protection-motivation factors. The integrated framework provides a more comprehensive understanding of the behavioral mechanisms underlying environmental responsibility in outdoor recreation settings and offers practical implications for environmental management and the sustainable development of outdoor hiking activities.

Abstract: This study deals with social intelligence within Moroccan associations, a sector that is witnessing rapid growth, as the number of associations exceeded 259,000 associations in 2022. The study aims to discuss the main factors that contribute to the development of collective intelligence, and propose practical strategies to improve the performance of these organizations. A multi tool research methodology was adopted, combining the review of scientific literature, qualitative interviews, and a quantitative study of 125 Moroccan associations. The results highlight six key determinants of collective intelligence: social sensitivity, autonomy, motivation, transformational leadership, collaboration, and knowledge sharing. Collaboration and leadership have emerged as the most influential factors. In contrast, knowledge sharing and social sensitivity play a supportive role by improving communication and integrating dispersed knowledge. The study provides theoretical contributions by adapting collective intelligence models to the peculiarities of Moroccan civil society. At the applied level, the study proposes a set of recommendations, including strengthening capacity building, developing lead-ership skills, and adopting collaborative digital platforms. The results in their entirety confirm the strategic importance of collective intelligence in improving the effective-ness of Moroccan associations and enhancing their impact in the face of increasingly complex social challenges.

Abstract: Background. Archive studies have primarily conceptualized archives as documentary repositories and memory institutions, whereas territorial studies have examined territorialities as processes through which social groups produce, signify, and contest space. Despite their shared concern with the social production of meaning, the relationship between archives and territorialities remains insufficiently theorized. Problematization. This article proposes understanding the archive as a relational configuration composed of three dimensions: a Mode of Differential Documentation (collections), a Territorial System of Site (spatial infrastructures and locations), and a Condensed Informational Potential (contents). Together, these dimensions constitute the archive as an institution embedded in territorial processes of meaning production. Development. The relationship between territorialities and archives from an anthropological perspective, advancing the hypothesis that this relationship shapes the political-cultural construction of territories. Archives do more than preserve documents. By organizing and rendering traces of the past intelligible, they articulate memories, places, and identities, generating shared horizons of territorial interpretation. In this sense, the archive operates as a Regime of Expansibility of its Implicit Territoriality. Implications and Conclusion. Territories not only produce archives; archives also produce territories by organizing, circulating, and legitimizing meanings. This framework opens new avenues for empirical research on archival practices and territorial construction.