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Record W3010728456 · doi:10.7202/1067529ar

Revitaliser les cultures et les langues autochtones au Canada : les nouvelles initiatives de Bibliothèque et Archives Canada

2020· article· fr· W3010728456 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueArchives · 2020
Typearticle
Languagefr
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsLibrary and Archives Canada
Fundersnot available
KeywordsPolitical scienceHumanitiesArt

Abstract

fetched live from OpenAlex

Le Gouvernement du Canada reconnaît le droit de revitaliser et de protéger la culture, la langue, la tradition orale, l’histoire, les arts et la littérature des peuples autochtones. Considérant la richesse de ses collections autochtones, publiées ou archivistiques, Bibliothèque et Archives Canada (BAC) joue un rôle important dans le maintien de ces droits. BAC a développé deux initiatives aspirant à promouvoir et à préserver les cultures autochtones au Canada. La première, Nous sommes là : voici nos histoires , vise la numérisation des documents de BAC relatifs aux autochtones et est guidée par les besoins de ces derniers. La seconde, Écoutez pour entendre nos voix , a pour objectif de soutenir les communautés et d’autres partenaires dans la préservation des enregistrements en langue autochtone dont ils sont dépositaires. Ces deux initiatives s’appuient sur une stratégie d’engagement qui inclut une gouvernance partagée, la production participative ( crowdsourcing ) et la création d’emplois spécialisés dans les communautés.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.757
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.024
GPT teacher head0.258
Teacher spread0.234 · 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