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Record W2062928233 · doi:10.3917/rsi.092.0059

Besoins d'information des familles d'enfant ayant une déficience : point de vue des parents et des professionnels de la santé

2008· article· fr· W2062928233 on OpenAlexaff
Diane Pelchat, Hélène Lefebvre, Marie‐Josée Levert, Claire David

Bibliographic record

VenueRecherche en soins infirmiers · 2008
Typearticle
Languagefr
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesMedicineArt

Abstract

fetched live from OpenAlex

Cette étude préliminaire avait pour objectif de documenter les besoins d’information des familles ayant un enfant avec une déficience du point de vue des parents et des professionnels de la santé impliqués auprès d’eux. Trois groupes de discussion ont été réalisés: deux auprès de parents d’enfant ayant une trisomie 21 ou une déficience motrice cérébrale et un autre auprès de professionnels de la santé impliqués auprès d’eux. Les résultats montrent que l’information recherchée par les parents concerne le problème de santé, les soins et les ressources disponibles. Les parents consultent entre autres sources les professionnels de la santé, d’autres parents, les médias et l’Internet. L’information obtenue par les parents a un impact sur leur adaptation à la situation de santé et sur leur relation avec les professionnels. Enfin, des recommandations sont proposées par les parents et les professionnels en regard des interventions.

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)0.006
metaresearch head score (Gemma)0.048
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 score0.023
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.048
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.222
GPT teacher head0.494
Teacher spread0.272 · 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

Citations7
Published2008
Admission routes1
Has abstractyes

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