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Record W3112669328 · doi:10.4000/tc.14797

De la mer à la viande

2020· article· fr· W3112669328 on OpenAlex
Gaëlle Ronsin, Nathalie Lewis, Geneviève Brisson

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueTechniques & culture · 2020
Typearticle
Languagefr
FieldAgricultural and Biological Sciences
TopicCulinary Culture and Tourism
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtPhilosophy

Abstract

fetched live from OpenAlex

Depuis une dizaine d’années la viande de phoque issue de chasses non autochtones est en vogue au Québec. Cette observation intrigue en raison de la longue controverse internationale qui a conduit à disqualifier cette chasse, réputée cruelle, et à limiter fortement la marchandisation des produits issus des phoques. Mais à partir des années 2000, favorisés par des changements pluriels, des acteurs ont engagé un processus de requalification de cette viande aux Îles de la Madeleine (archipel situé dans le golfe du Saint-Laurent). La série photographique présentée dans cet article est issue d’une ethnographie conduite en 2019. Elle vise à décrire les processus adoptés pour renommer et recatégoriser ces animaux sauvages, les phoques, jusqu’à en faire un produit alimentaire désirable. L’enquête révèle les ambiguïtés dans les statuts et catégories des phoques au Canada et au Québec : animaux du monde marin, ils sont transformés, par les lieux, normes et techniques utilisés, en une viande vendue en ville en boucherie comme en poissonnerie.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.604
Threshold uncertainty score0.997

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 integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.016
GPT teacher head0.256
Teacher spread0.240 · 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