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Record W4303437861 · doi:10.7202/1092261ar

Le Programme francophone des autorités de noms : une collaboration prometteuse

2022· article· fr· W4303437861 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

VenueDocumentation et bibliothèques · 2022
Typearticle
Languagefr
FieldComputer Science
TopicLibrary Science and Information Systems
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsPolitical scienceHumanitiesFrenchArt

Abstract

fetched live from OpenAlex

En juin 2020 était lancé officiellement le Programme francophone des autorités de noms (PFAN). Inspiré du programme NACO (Name Authority Cooperative Program), le PFAN permet aux participants, Bibliothèque et Archives Canada (BAC), Bibliothèque et Archives nationales du Québec (BAnQ) et les 15 bibliothèques universitaires francophones du Québec, de maintenir un fichier commun d’autorité de noms, Canadiana, de façon collaborative. Cet article décrit les principales étapes ayant mené à la naissance du PFAN. Il retrace les premières discussions sur le catalogage collaboratif au Québec et, la possible création d’un fichier d’autorité commun en français, l’historique du fichier Canadiana ainsi que les ententes officielles qui ont ouvert la voie au lancement du Programme. La vision, la structure, le fonctionnement et les retombées du Programme sont aussi présentés ainsi que le soutien apporté aux partenaires du Programme.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Bibliometrics, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesScholarly communication
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.749
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.022
Science and technology studies0.0010.000
Scholarly communication0.0120.077
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.030
GPT teacher head0.301
Teacher spread0.271 · 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