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Record W2578148882 · doi:10.1007/s11469-017-9732-4

Access Barriers to Services by Immigrant Mothers of Children with Autism in Canada

2017· article· en· W2578148882 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueInternational Journal of Mental Health and Addiction · 2017
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsSt. Michael's HospitalCARE CanadaYork University
FundersYork University
KeywordsAutismHealth psychologyImmigrationQualitative researchPsychologyContext (archaeology)Social supportPublic healthDevelopmental psychologyMedicineNursingSocial psychologySociologyPolitical scienceGeography

Abstract

fetched live from OpenAlex

Equal access for autism services remains suboptimal for diverse groups. In Canada, little is known about the barriers immigrant mothers face accessing services and support for their children with developmental disabilities. In this qualitative study, 21 immigrant mothers of children with Autism, from a diverse ethno cultural background, were interviewed in Toronto, Canada. We apply House's (1981) four domains of social support to analyze findings. Structural support challenges, such as delays in diagnosis, fragmented and dispersed services were common, followed by instrumental challenges due to loss of social ties and stigma. Lack of expected support from partners, and negative perceptions of services, were identified as emotional and perceptive challenges. Focused attention is required to address inequalities within the context of current access pathways for autism.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.252
Threshold uncertainty score0.397

Codex and Gemma teacher scores by category

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

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 head0.013
GPT teacher head0.357
Teacher spread0.344 · 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