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Record W2908386551 · doi:10.4000/echogeo.16400

Quand les savoirs font ressource : constructions sociales et intégrations territoriales.

2018· article· fr· W2908386551 on OpenAlex
Audrey Sérandour

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEchoGéo · 2018
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsMinistère des Ressources naturelles et des Forêts (Québec)
Fundersnot available
KeywordsFontSociologyHumanitiesComputer sciencePhilosophy

Abstract

fetched live from OpenAlex

À partir du cas du lithium sud-américain, nous proposons une analyse du rôle des savoirs dans la construction d’une ressource et dans les dynamiques spatiales associées. Nous partons du constat que la multiplication des projets d’exploitation en Argentine, en Bolivie et au Chili s’accompagne d’une production croissante de savoirs universitaires sur le lithium de ces pays, sans toutefois que ces derniers soient mis à profit par les multinationales minières. En effet, celles-ci développent leurs propres savoirs à l’étranger, intégrant ainsi les gisements dans des réseaux mondiaux de mise en valeur de la ressource. L’hypothèse ici défendue est qu’à défaut de participer directement à l’exploitation du lithium, les savoirs produits dans le « triangle du lithium » jouent un rôle social et politique participant à l’intégration du gisement à d’autres échelles : régionale, nationale, locale.

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.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.874
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0040.009
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.150
GPT teacher head0.323
Teacher spread0.174 · 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