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Record W3006236306 · doi:10.7202/1067045ar

Les obstacles et les facilitateurs dans l’accès aux services pour les enfants et les adolescents autistes francophones du Nouveau-Brunswick

2020· article· fr· W3006236306 on OpenAlexaffvenueabout
Jacques Richard, Marianne Thériault, Rick Audas, Scott T. Ronis, Kate Tilleczek, Michael Zhang, Brandi Bell, Amanda Slaunwhite, Nathalie Poirier

Bibliographic record

VenueReflets Revue d’intervention sociale et communautaire · 2020
Typearticle
Languagefr
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsUniversité du Québec à MontréalHealth PEIBC Centre for Disease ControlYork UniversityUniversité de MonctonSaint Mary's UniversityUniversity of New BrunswickMemorial University of Newfoundland
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Cette étude vise à explorer les barrières et les facilitateurs dans l’accès aux services pour les enfants et adolescents autistes, et ce, selon la perspective de parents et celle de personnes prestataires de services. Des entrevues semi-structurées ont été effectuées auprès de huit parents et de huit responsables de services francophones du Nouveau-Brunswick. Une analyse thématique de leur discours a été effectuée afin d’identifier les barrières et les facilitateurs dans l’accès aux services lors de trois moments clés, soit les premières inquiétudes, le diagnostic et l’entrée scolaire. Ces moments représentent des périodes de transition sur le plan des services pour les familles.

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 score0.230
Threshold uncertainty score0.463

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.086
GPT teacher head0.396
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

Citations2
Published2020
Admission routes3
Has abstractyes

Explore more

Same venueReflets Revue d’intervention sociale et communautaireSame topicFamily and Disability Support ResearchFrench-language works237,207