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Record W3179940318 · doi:10.4000/vertigo.30743

L’impossible gouvernement de la migration? Gestions locales d’espèces globales : les migrateurs amphihalins (anguille européenne et saumon atlantique)

2021· article· fr· W3179940318 on OpenAlexvenueno aff
Anatole Danto

Bibliographic record

VenueVertigO · 2021
Typearticle
Languagefr
FieldSocial Sciences
TopicGeographies of human-animal interactions
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceGeographyArt

Abstract

fetched live from OpenAlex

Cet article s’intéresse aux modes de gouvernement de deux espèces de poissons grands migrateurs amphihalins : l’anguille européenne (Anguilla anguilla) et le saumon atlantique (Salmo salar). Basé sur une longue enquête ethnographique, ce texte propose d’analyser les modalités des gouvernements des pêcheries et des stocks en Europe continentale (Ouest de la France) et ultramarine (Archipel de Saint-Pierre et Miquelon), en démontrant la globalisation à laquelle font face ces espèces et leurs filières de capture et de consommation. Espèces en déclin, leur protection a été mise sur le haut de l’agenda dans la seconde moitié du XXe siècle, mais des problématiques apparaissent bien plus tôt. L’action publique contemporaine s’intéresse donc de près à ces deux espèces, et tente de mettre en place, à l’aide de divers instruments, des politiques publiques adaptées. Mais ces politiques se basent souvent sur du pré-existant, au lieu de s’inspirer d’autres modes de gouvernement, qui, eux, sont désormais mis en avant en dehors du champ politique occidental par une diversité croissante d’acteurs.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.004
Scholarly communication0.0030.002
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.022
GPT teacher head0.323
Teacher spread0.301 · 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.

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

Citations1
Published2021
Admission routes1
Has abstractyes

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Same venueVertigOSame topicGeographies of human-animal interactionsFrench-language works237,207