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Record W2099689232 · doi:10.7202/1029106ar

Un dialogue de sourds ?

2015· article· fr· W2099689232 on OpenAlexaffvenueabout
François Charbonneau

Bibliographic record

VenueMinorités linguistiques et société · 2015
Typearticle
Languagefr
FieldPsychology
TopicHearing Impairment and Communication
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsHumanitiesPolitical scienceSociologyPhilosophy

Abstract

fetched live from OpenAlex

Cet article s’intéresse aux attitudes par rapport au bilinguisme dans l’espace public anglo-canadien. À l’aide de citations tirées à même une banque de près de 800 articles de journaux publiés entre 2004 et 2009, est détaillé l’ensemble des arguments invoqués dans ce débat. La recherche démontre que lorsqu’ils critiquent le bilinguisme, les détracteurs de cette politique mobilisent des arguments presque exclusivement de nature pragmatique. En lisant cette fois les textes écrits par des gens se portant à la défense des politiques de bilinguisme, les arguments invoqués sont très souvent de nature « idéaliste ». En un mot, les « participants » à ce débat prennent part à un dialogue de sourds. Cette recherche permet de comprendre pourquoi plusieurs des arguments invoqués en appui aux politiques de bilinguisme du Canada restent, pour une partie de la population du Canada, largement inaudibles.

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)0.014
metaresearch head score (Gemma)0.016
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: Other · Consensus signal: Other
Teacher disagreement score0.474
Threshold uncertainty score0.941

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.016
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.004
Science and technology studies0.0260.032
Scholarly communication0.0210.012
Open science0.0020.008
Research integrity0.0060.006
Insufficient payload (model declined to judge)0.0110.001

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 head0.092
GPT teacher head0.435
Teacher spread0.343 · 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
GenreOther

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

Citations7
Published2015
Admission routes3
Has abstractyes

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