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Record W4283388772 · doi:10.1080/14927713.2022.2085158

Éducation au loisir familial avec un enfant handicapé et les besoins des parents

2022· article· fr· W4283388772 on OpenAlexafffundvenue
Marie-Michèle Duquette, Hélène Carbonneau, Carl Lacharité

Bibliographic record

VenueLeisure/Loisir · 2022
Typearticle
Languagefr
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsUniversité du Québec à Trois-Rivières
FundersMinistère de l'Éducation et de l'Enseignement supérieur
KeywordsPsychology

Abstract

fetched live from OpenAlex

Plusieurs recherches ont démontré que le loisir familial amène de multiples bienfaits pour les familles autant sur le plan de la cohésion et l’adaptabilité familiales que celui de leur qualité de vie générale. Cependant, le quotidien des familles vivant avec un enfant handicapé est rempli de plusieurs défis et la place du loisir dans ce milieu de vie peut être moins importante. L’objectif de cette recherche est d’explorer les besoins en loisir familial des parents d’un enfant handicapé. L’analyze des groupes de discussion présente la place accordée au loisir dans leur vie, l’influence de la dynamique familiale et les types de pratiques ainsi que les obstacles. Des besoins et des formes d’aide désirées sont aussi abordés.

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)0.002
metaresearch head score (Gemma)0.006
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 score0.030
Threshold uncertainty score0.060

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0080.000

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 head0.077
GPT teacher head0.383
Teacher spread0.306 · 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

Citations0
Published2022
Admission routes3
Has abstractyes

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