MétaCan
Menu
Back to cohort
Record W3049207861 · doi:10.7202/1070477ar

La chasse au phoque du Groenland à Essipit

2020· article· fr· W3049207861 on OpenAlexaffvenue
Florence Parcoret

Bibliographic record

VenueEthnologies · 2020
Typearticle
Languagefr
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsEthnologyHumanitiesPolitical scienceArtSociology

Abstract

fetched live from OpenAlex

La chasse au phoque du Groenland par les Essipiunnuat de la Première Nation des Innus d’Essipit est une chasse traditionnelle et séculaire, ancrée profondément dans les activités innu aitun de la communauté. Cette tradition est cependant identifiée culturellement en péril par le conseil de bande et la plupart de ses membres. Cet article fait la description ethnographique de la chasse au loup-marin telle qu’elle est pratiquée aujourd’hui à Essipit, et notamment depuis la fin de la chasse commerciale dans la région des Escoumins, au début des années 2000. Il replace cette tradition dans le contexte évolutif de tout patrimoine immatériel et fait part de la vision intrinsèque dont les porteurs de cette tradition envisagent, à court et à long terme, la sauvegarde de cette chasse dans leur communauté.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.949
Threshold uncertainty score0.101

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.004
Scholarly communication0.0010.001
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.068
GPT teacher head0.366
Teacher spread0.298 · 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 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
Published2020
Admission routes2
Has abstractyes

Explore more

Same venueEthnologiesSame topicIndigenous Studies and EcologyFrench-language works237,207