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Record W1492903049 · doi:10.7202/1026788ar

La tradition orale des pêcheurs de homard de Météghan, Nouvelle-Écosse

2014· article· fr· W1492903049 on OpenAlexvenueaboutno aff
Gisèle Thériault

Bibliographic record

VenueRabaska Revue d ethnologie de l Amérique française · 2014
Typearticle
Languagefr
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtPhilosophy

Abstract

fetched live from OpenAlex

Cette note présente une collection de récits personnels recueillie par l’auteur auprès des pêcheurs de homard de Météghan en Nouvelle-Écosse. Ce corpus est un inventaire global et non pas total qui aide à comprendre l’évolution de ce village acadien dont la pêche est l’industrie principale. Sa recherche nécessitait une transformation du regard, afin de remarquer, de préserver et de présenter le trésor que constitue la tradition orale de cette région. L’auteur présente ses récits en se basant sur le concept d’ethnotexte élaboré par l’ethnologue Jean-Claude Bouvier et laisse la parole aux informateurs, ce qui permet d’être fidèle à l’expérience orale. Le protocole suivi pour les transcriptions est un compromis entre la fidélité des enregistrements et l’accessibilité du texte, qui conserve le vocabulaire maritime et les mots archaïques. L’auteur montre l’importance culturelle des anecdotes, un amalgame entre la tradition et la modernité, par lesquelles les pêcheurs se définissent, et commence à éclairer l’énigme d’une identité acadienne moderne.

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)0.004
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 score0.935
Threshold uncertainty score0.130

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0060.003
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.002

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 head0.026
GPT teacher head0.250
Teacher spread0.223 · 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
Published2014
Admission routes2
Has abstractyes

Explore more

Same venueRabaska Revue d ethnologie de l Amérique françaiseSame topicCanadian Identity and HistoryFrench-language works237,207