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Record W4385733326 · doi:10.7202/1100440ar

État des connaissances, perceptions et besoins professionnels de psychologues québécois face à la douance : une étude exploratoire

2023· article· fr· W4385733326 on OpenAlexaffvenueabout
Anne Brault‐Labbé, Joanie Poirier, Audrey Brassard

Bibliographic record

VenueRevue québécoise de psychologie · 2023
Typearticle
Languagefr
FieldPsychology
TopicAcademic and Historical Perspectives in Psychology
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsLibrary scienceSociologyHumanitiesPsychologyArtComputer science

Abstract

fetched live from OpenAlex

La présente étude descriptive à devis mixte, menée auprès de 224 psychologues québécois, examinait leur niveau de formation et de connaissances, leurs perceptions et leurs besoins professionnels au regard de la douance. Les résultats indiquent qu’une majorité de répondants a reçu de la formation en douance, mais avec un nombre d’heures de formation et des niveaux de connaissances faibles. Ils indiquent également une reconnaissance élevée des besoins particuliers des personnes douées. Des besoins de perfectionnement, de soutien et collaboration, et d’accès aux services pour la clientèle douée sont dégagés. La discussion soulève des pistes pour soutenir le travail des psychologues auprès d’une clientèle douée.

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)0.003
metaresearch head score (Gemma)0.007
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: Empirical
Teacher disagreement score0.141
Threshold uncertainty score0.284

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0090.003
Scholarly communication0.0040.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.000

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 head0.102
GPT teacher head0.412
Teacher spread0.310 · 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

Citations3
Published2023
Admission routes3
Has abstractyes

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