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Record W6986352765

Penser la francophonie canadienne au prisme de la résilience, de la résistance et des alliances Thinking French-speaking Canada through the optic of resilience, resistance and alliances

2013· other· fr· W6986352765 on OpenAlexaboutno aff

Bibliographic record

VenueOpenEdition (OpenEdition) · 2013
Typeother
Languagefr
FieldDecision Sciences
TopicScientific Computing and Data Management
Canadian institutionsnot available
Fundersnot available
KeywordsResistance (ecology)Field (mathematics)Foreign policyLatin AmericansPublic policy
DOInot available

Abstract

fetched live from OpenAlex

L’Association des universités de la francophonie canadienne (AUFC) et le Réseau de la recherche sur la francophonie canadienne (RRF) organisent, dans le cadre du 82e Congrès de l’ACFAS, un colloque multidisciplinaire réunissant chercheurs et étudiants universitaires, ainsi qu’intervenants communautaires et gouvernementaux, dans une visée de réflexion et de dialogue. L'événement propose de porter un regard neuf sur la francophonie canadienne d’hier et d’aujourd’hui au prisme des notions de résistance, de résilience et d'alliances. Plus exactement, il s'agit de voir, d'une part, comment ces notions peuvent nous amener à mieux comprendre les capacités d'habilitation, de responsabilisation et d'autodétermination des francophonies minoritaires aujourd'hui et, d'autre part, comment elles peuvent nous permettre d'éclairer leur passé et cerner la spécificité de leur expérience historique.

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.124
Threshold uncertainty score0.899

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.007
Science and technology studies0.0190.014
Scholarly communication0.0260.006
Open science0.0020.006
Research integrity0.0070.007
Insufficient payload (model declined to judge)0.0430.003

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 head0.022
GPT teacher head0.287
Teacher spread0.265 · 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 designTheoretical or conceptual
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

Citations0
Published2013
Admission routes1
Has abstractno

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