MétaCan
Menu
Back to cohort
Record W2213877857 · doi:10.1590/1983-21172012140302

INCIDENCE DES CARACTÉRISTIQUES DES ÉLÈVES SUR LEUR DEGRÉ DE MOTIVATION À PARTICIPER À UNE EXPO-SCIENCES

2012· article· fr· W2213877857 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueEnsaio · 2012
Typearticle
Languagefr
FieldPsychology
TopicCreativity in Education and Neuroscience
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsHumanitiesPsychologyPhilosophy

Abstract

fetched live from OpenAlex

Les expo-sciences sont de plus en plus populaires chez les jeunes. Leur motivation à participer peut être influencée par différents facteurs que notre étude cherche à préciser. A cette fin, nous avons construit un questionnaire destiné à mesurer le degré de motivation des participants à l'expo-sciences pan canadienne qui regroupe chaque année les meilleurs au pays. Nos résultats indiquent que ces élèves sont très motivés mais que contrairement à certains résultats de recherches antérieures, leur degré de motivation est influencé par leur âge et leur niveau scolaire. Les autres facteurs étudiés n'ont pas eu d'influence significative sur leur degré de motivation. Nous concluons en énoncant les limites de notre recherche et des suggestions quant à des recherches ultérieures.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.088
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.003
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.180
GPT teacher head0.420
Teacher spread0.240 · 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