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Record W7082639670 · doi:10.7202/1119777ar

De la communauté à la parenté du vivant : pour des bibliothèques attentives sur des territoires en transition

2025· article· fr· W7082639670 on OpenAlexvenueno aff

Bibliographic record

VenueDocumentation et bibliothèques · 2025
Typearticle
Languagefr
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Relation (database)Order (exchange)Politics

Abstract

fetched live from OpenAlex

Cet article explore le potentiel de l’éthique du care comme cadre pour repenser la relation des bibliothèques à leurs communautés, particulièrement dans un contexte de transition écologique et sociale. Bien que cette approche, fondée sur l’écoute, l’attention et la prise en compte des vulnérabilités, soit encore marginale dans les pratiques bibliothéconomiques, elle offre des perspectives pertinentes face aux défis contemporains. En mobilisant les apports de l’écosophie — philosophie des relations centrée sur l’écologie — et en s’appuyant sur des travaux inter et transdisciplinaires, les auteurs analysent comment ces concepts peuvent enrichir les services des bibliothèques. L’étude s’ancre principalement dans le contexte français, à partir d’enquêtes de terrain et de l’exemple du projet ECODOC, qui interroge la circulation des savoirs dans des territoires en transition. Ce travail vise à éclairer les transformations en cours et à venir dans les bibliothèques, tout en soulignant les enjeux éthiques et politiques de ces évolutions.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.989
Threshold uncertainty score0.115

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.006
Science and technology studies0.0120.024
Scholarly communication0.0110.009
Open science0.0010.004
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0100.001

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 head0.023
GPT teacher head0.280
Teacher spread0.257 · 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 source (direct Gemma or distilled Codex), not a consensus.

Study designQualitative
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

Citations0
Published2025
Admission routes1
Has abstractyes

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