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Record W2617427913 · doi:10.1353/book35997

Les sciences humaines à l'école primaire québécoise: Regards croisés sur un domaine de recherche et d'intervention

2014· book· fr· W2617427913 on OpenAlexaboutno aff
Marie-Claude Larouche, Anderson Araújo-Oliveira

Bibliographic record

VenuePresses de l'Université du Québec eBooks · 2014
Typebook
Languagefr
FieldSocial Sciences
TopicEducator Training and Historical Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical science

Abstract

fetched live from OpenAlex

A la croisee de travaux de recherche en didactique et de la reflexion critique d’acteurs scolaires, cet ouvrage offre des regards varies sur la mise en œuvre d’un programme d’etudes juge important pour la formation intellectuelle, sociale et culturelle des jeunes, celui de l’univers social. Alors que des chercheurs se penchent sur l’apprentissage et l’enseignement de l’histoire et de la geographie, de meme que sur les ressources disponibles et sur la formation initiale et continue, des acteurs du milieu scolaire traitent de considerations pratiques relatives a l’intervention educative. Enfin, trois chercheurs chevronnes du Quebec, du Canada anglais et de l’Europe commentent differentes contributions reunies dans l’ouvrage et les situent dans un horizon plus vaste.

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)0.007
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.097
Threshold uncertainty score0.703

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.004
Science and technology studies0.0140.033
Scholarly communication0.0080.003
Open science0.0020.003
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0090.001

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 head0.124
GPT teacher head0.342
Teacher spread0.218 · 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

Citations5
Published2014
Admission routes1
Has abstractyes

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