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Les bibliothèques publiques des communautés de langue officielle en situation minoritaire : enjeux actuels sur le développement des collections en français

2022· article· fr· W4296067094 on OpenAlexaffvenueabout
Catherine Lachaîne, Sarah Shaughnessy, Hélène Carrier, Céline Gareau-Brennan, Nadia Caidi

Bibliographic record

VenuePartnership The Canadian Journal of Library and Information Practice and Research · 2022
Typearticle
Languagefr
FieldSocial Sciences
TopicLibrary Science and Administration
Canadian institutionsUniversity of TorontoUniversity of AlbertaUniversity of Ottawa
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Les bibliothèques publiques canadiennes jouent un rôle important dans le soutien des communautés de langue officielle en situation minoritaire, tant sur les plans culturel et socio-économique que linguistique. Pourtant, il existe relativement peu de recherches sur les pratiques et l’impact des bibliothèques en contexte linguistique minoritaire. Cette enquête exploratoire présente les résultats d’un sondage pancanadien sur les collections en français des bibliothèques publiques desservant les communautés francophones minoritaires au Canada, en mettant l'accent sur les pratiques du personnel des bibliothèques et leur niveau de satisfaction en ce qui concerne le développement, la promotion et l'évaluation de ces collections. L’analyse des résultats du sondage révèle quatre principaux facteurs, souvent interreliés, qui influencent le développement des collections dans les communautés francophones en situation minoritaire : le niveau de connaissance du français chez les employés, le recours à des fournisseurs et à des intermédiaires, le manque de ressources et de soutien, et le confinement du développement des collections aux contenus pour enfants et aux publics d'âge scolaire. Les résultats de cette étude sont partagés afin de susciter des discussions et une réflexion sur les défis uniques de ce travail.

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 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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, 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 score0.712
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0080.001
Scholarly communication0.0030.049
Open science0.0000.000
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 head0.132
GPT teacher head0.374
Teacher spread0.242 · 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; both teacher heads agree on what is shown here.

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

Citations1
Published2022
Admission routes3
Has abstractyes

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Same venuePartnership The Canadian Journal of Library and Information Practice and ResearchSame topicLibrary Science and AdministrationFrench-language works237,207