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Record W2601566902 · doi:10.18162/ritpu.2014.238

10.18162/ritpu.2014.238

2016· dataset· fr· W2601566902 on OpenAlexaff
Miranda Rioux, A. Couture

Bibliographic record

Venuenot available
Typedataset
Languagefr
FieldSocial Sciences
TopicMathematics Education and Teaching Techniques
Canadian institutionsUniversité du Québec à Rimouski
Fundersnot available
KeywordsHumanitiesPhysicsPhilosophy

Abstract

fetched live from OpenAlex

Nous dévoilons ici les résultats d’une étude qui a été menée à l’UQAR en 2013, auprès de 44 étudiants au baccalauréat en enseignement primaire. Cette étude avait pour objectif d’explorer la genèse instrumentale des télévoteurs en formation initiale à l’enseignement des mathématiques. Elle dépeint ainsi la perspective du didacticien souhaitant utiliser les télévoteurs pour instrumenter ses pratiques. Pour atteindre cet objectif, nous avons d’abord intégré les télévoteurs dans nos cours de didactique. Nous avons ensuite observé les processus d’instrumentalisation et d’instrumentation, lesquels rendent compte de la genèse instrumentale de cet outil.

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.775
Threshold uncertainty score0.753

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0040.005
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0030.003
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.2250.461

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 head0.042
GPT teacher head0.367
Teacher spread0.325 · 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.

Study designNot applicable
Domainnot available
GenreDataset

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".

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Citations0
Published2016
Admission routes1
Has abstractyes

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Same topicMathematics Education and Teaching TechniquesFrench-language works237,207