MétaCan
Menu
Back to cohort
Record W2898426570 · doi:10.7202/1052448ar

Le Centre d’études franco-canadiennes de l’Ouest (CEFCO)

2018· article· fr· W2898426570 on OpenAlexvenueaboutno aff
Annette Saint-Pierre

Bibliographic record

VenueCahiers franco-canadiens de l Ouest · 2018
Typearticle
Languagefr
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesGeologyPhilosophy

Abstract

fetched live from OpenAlex

Le Centre d'études franco-canadiennes de l'Ouest (CEFCO)Annette SAINT-PIERRE co-fondatrice du centre d'études franco-canadiennes de l'ouest (cefco) Première présidente du Bureau de direction du CEFCO Au début du mois de juin 1975, Robert Painchaud, professeur d'histoire à l'Université de Winnipeg, et Annette Saint-Pierre, professeur de lettres canadiennes-françaises au Collège universitaire de Saint-Boniface, conçoivent l'idée d'un centre de documentation française audit Collège 1 .À la suite de visites au Centre de recherche en civilisation canadiennefrançaise [CRCCF] à l'Université d'Ottawa, il leur paraissait urgent de doter l'Ouest canadien d'un centre qui desservirait les Canadiens français des provinces de l'Ouest.La demande de création d'un tel organisme fut adressée à la direction du Collège.Le projet fut accueilli avec beaucoup d'intérêt, comme le prouve un passage d'une lettre [envoyée à Annette Saint-Pierre] du recteur intérimaire, Georges Damphousse, en date du 24 juin 1975: Après en avoir discuté de nouveau avec le doyen, M. Fillion, il semble qu'il serait très opportun que vous fassiez parvenir, dans le plus bref délai, autant d'informations qu'il vous sera possible de donner sur l'organisation et le fonctionnement du centre, puisque vous êtes sur les lieux à l'Université d'Ottawa où il existe un centre de documentation.

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)0.005
metaresearch head score (Gemma)0.010
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.055
Threshold uncertainty score0.399

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.007
Science and technology studies0.0120.002
Scholarly communication0.0070.003
Open science0.0020.003
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0510.004

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 head0.007
GPT teacher head0.207
Teacher spread0.200 · 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

Citations1
Published2018
Admission routes2
Has abstractno

Explore more

Same venueCahiers franco-canadiens de l OuestSame topicCanadian Identity and HistoryFrench-language works237,207