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Record W2461759877 · doi:10.7202/1036700ar

Motivation à apprendre et volition à l’adolescence : développement et étude de la validité d’un nouvel inventaire

2016· article· fr· W2461759877 on OpenAlexvenueno aff
Jean‐Louis Berger, Delphine Rinaldi Davinroy

Bibliographic record

VenueMesure et évaluation en éducation · 2016
Typearticle
Languagefr
FieldPsychology
TopicMotivation and Self-Concept in Sports
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyHumanitiesVolition (linguistics)Philosophy

Abstract

fetched live from OpenAlex

Cet article présente le développement d’un nouvel instrument d’évaluation des facettes de la motivation scolaire à l’adolescence : l’Inventaire de motivation et volition scolaires. Cet instrument comporte la particularité d’intégrer des facettes de la motivation à apprendre fondées sur la théorie de l’autodétermination (Ryan & Deci, 2000) ainsi que des aspects de la volition (procrastination et stratégies d’autorégulation de la motivation). Deux études conduites auprès de 166 et 661 lycéens francophones âgés de 15 à 19 ans dans le canton de Genève, en Suisse, sont présentées afin d’évaluer la validité de l’Inventaire. Ces études soutiennent tant la validité interne (analyses dimensionnelles, estimation de la cohérence interne et lien avec la tendance à la désirabilité sociale) que la validité externe (réseau nomologique) de l’instrument. L’Inventaire de motivation et volition scolaires vise à être utile en tant qu’outil d’évaluation par les enseignants et en tant qu’instrument de recherche sur les questions de motivation scolaire.

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 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)0.021
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), 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 score0.594
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0210.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.073
GPT teacher head0.398
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 teacher head, not a consensus.

Study designObservational
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

Citations7
Published2016
Admission routes1
Has abstractyes

Explore more

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