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Record W4408778790 · doi:10.5751/es-15787-300136

Making sense of territorial changes: affective and moral dimensions of place attachments and meanings

2025· article· en· W4408778790 on OpenAlexvenueno aff
Frédérique Jankowski, François Bousquet, Astou Diao Camara, M. Diol, Bastien Defives, Amandine Adamczewski, A. Sané, S. Mbalo

Bibliographic record

VenueEcology and Society · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicRural development and sustainability
Canadian institutionsnot available
FundersCentre de Coopération Internationale en Recherche Agronomique pour le Développement
KeywordsPlace attachmentSense of placeSocial psychologyPsychologyAffect (linguistics)SociologyEnvironmental ethicsEpistemologyAestheticsGeographyEconomic geographyCommunicationPhilosophy

Abstract

fetched live from OpenAlex

For the last five decades, several approaches to sense of place have been developed and used to better understand the complex dynamics between multiple coexisting spatial practices and experiences. The relationship between territorial changes (place change) and senses of place is still under investigation. Our research method contributes to the inquiry about sense of place and place attachment by combining concepts and practices from two research communities: environmental psychology and pragmatics of attachment approaches. The study was conducted in a rural community in northern Senegal and used a mixed-methods approach that included questionnaires, interview-photos, and a participatory theater device. The observations revealed a plurality of attachments and meanings associated with both the territory and the places that form it. Above all, they revealed multiple elements implicated in the construction and evaluation of place attachments and meanings. The results showed that, while diverse entities are simultaneously involved in the production and evaluation of sense of place, the acceptance of change by the members of a community as a whole depended on maintaining affective relationships that engage them and respecting the moral values they hold. Based on the results, we used the framework of affective arrangements to characterize the complex set of relationships involved in the attachment dynamics and territorial changes.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.116

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.014
GPT teacher head0.259
Teacher spread0.245 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2025
Admission routes1
Has abstractyes

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