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Record W2791694902 · doi:10.7202/1043532ar

Des cercles de lecture au sein d’équipes de hockey au Nouveau-Brunswick : l’expérience des joueurs

2018· article· fr· W2791694902 on OpenAlexaffvenueabout
Manon Jolicoeur, Marianne Cormier

Bibliographic record

VenueÉducation et francophonie · 2018
Typearticle
Languagefr
FieldSocial Sciences
TopicParental Involvement in Education
Canadian institutionsUniversité de MonctonUniversité de Montréal
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Cette étude cherche à comprendre l’expérience de garçons francophones de 9 et 10 ans à travers un projet de cercles de lecture au sein de trois équipes de hockey du Nouveau-Brunswick. Elle met en lumière des éléments qui motivent les participants à s’engager dans cette initiative communautaire : l’intérêt pour les livres proposés, le rôle des parents, l’ascendant de l’entraîneur, les discussions, la pression des pairs, le désir d’améliorer leurs résultats scolaires ainsi que l’intérêt pour la lecture en général. Les résultats obtenus à l’aide d’observations, d’entretiens informels ponctuels, d’entretiens semi-dirigés et d’un journal de bord mènent à penser que ce dispositif peut constituer un moyen très intéressant de remédier au désengagement en lecture ainsi qu’aux difficultés qui en découlent.

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)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.745
Threshold uncertainty score0.508

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0170.007
Scholarly communication0.0050.002
Open science0.0020.007
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0110.001

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 head0.049
GPT teacher head0.351
Teacher spread0.302 · 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 designQualitative
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 routes3
Has abstractyes

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