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Record W2097326110 · doi:10.7202/015987ar

Endiguer la marée linguistique

2007· article· fr· W2097326110 on OpenAlexaffvenueabout
Michel Bouchard

Bibliographic record

VenueAnthropologie et Sociétés · 2007
Typearticle
Languagefr
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversity of Northern British Columbia
Fundersnot available
KeywordsHumanitiesPolitical scienceEthnologyArtSociology

Abstract

fetched live from OpenAlex

Cet article examine l’histoire d’un peuple et d’une langue. D’abord connu par son nom « Perm », il fut ensuite appelé « Zyriène » et maintenant « Komi » depuis le début du 20e siècle. Le déclin de la langue komi va de pair avec l’ascension d’un autre peuple, dit « Slave » ensuite « Roussin » et enfin « Rousskii » (Russe). Le cas komi n’est pas atypique : les forces qui minent la vitalité linguistique des Komis sont à peu près identiques chez maints autres peuples minoritaires, y compris chez les francophones minoritaires de l’ouest canadien, dont l’auteur de cet article est originaire. Ce qui tue finalement une langue ce ne sont pas les politiques d’État et les autres forces sociales qui favorisent une langue dominante aux dépens d’une langue minoritaire, mais la gêne et la honte du peuple minoritaire. Dans cet article, nous examinons l’histoire de la langue et du peuple komi ainsi que les actions quotidiennes qui dévalorisent la langue et l’identité de ce peuple indigène devenu une minorité démographique dans la République komie.

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)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.917
Threshold uncertainty score0.166

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.011
Scholarly communication0.0070.005
Open science0.0010.003
Research integrity0.0020.004
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 head0.117
GPT teacher head0.547
Teacher spread0.430 · 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 designNot applicable
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
Published2007
Admission routes3
Has abstractyes

Explore more

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