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Record W2955534123 · doi:10.1177/0829573519853672

Literature Review of Francophone Psychometric Tests of Creativity: Guiding School Psychologists

2019· article· en· W2955534123 on OpenAlexaff
Philippe Valois, Jacques Forget, Carolanne Ponton

Bibliographic record

VenueCanadian Journal of School Psychology · 2019
Typearticle
Languageen
FieldPsychology
TopicCreativity in Education and Neuroscience
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsCreativityPsychologyCompendiumCurriculumTest (biology)TraitApplied psychologyDevelopmental psychologySocial psychologyPedagogyLinguistics

Abstract

fetched live from OpenAlex

Creativity is viewed as a trait of essential use in many contexts. The need for creative people in different domains implies that school should develop and evaluate creativity in their curriculum. Runco identified more than 80 creativity tests in English. No equivalent compendium exists for creativity tests in French. Thus, francophone students are not well deserved by the current state of creativity’s testing. The first objective of this article is to identify existing French tests of creativity with children and adolescent subjects that were identified in different databases using a systematic literature review method. The second objective is to present the key components and psychometric values of each identified test. Eight instruments for francophones were identified as being validated or being used in research setting with children or adolescent. Different theories of creativity associated with each test are also presented to guide the reader in selecting the most appropriate test for his school curriculum or his research.

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)0.002
metaresearch head score (Gemma)0.003
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 score0.257
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.005
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0140.000

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 head0.071
GPT teacher head0.393
Teacher spread0.322 · 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

Citations2
Published2019
Admission routes1
Has abstractyes

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