Exploring the Service Experiences of Women with Autism Spectrum Disorder: A Mixed-Methods Study
Bibliographic record
Abstract
Individuals with Autism Spectrum Disorder (ASD) often have complex service needs across the lifespan. The specific experiences of women with ASD, however, remain largely unknown. This concurrent mixed-methods dissertation consists of one quantitative study and one qualitative study examining the service experiences of women with ASD; integration occurred in a separate deductive, latent-level analysis. \n \nStudy 1 used data from the Canadian Autism Spectrum Disorder Alliance National Needs Survey, and provides a descriptive analysis of lifetime service use, unmet service needs, and barriers to care of a sample of Canadian adults with ASD, the majority of whom did not report a co-occurring intellectual disability (ID). Few significant sex/gender differences emerged, with the exception of mental health and residential services. However, a number of significant associations between service outcome variables and micro, meso, and exo system factors were found. \n \nStudy 2 is a qualitative study comprised of five focus groups of 20 women with ASD without ID with discussions centered on their service use, unmet service needs, and barriers to care. Overall, women emphasized high unmet service needs, particularly with respect to mental health concerns, residential supports, and vocational and employment services. Participants also perceived many service providers as disregarding or misunderstanding the female presentation of ASD and associated unique service needs. \t\t \n \nResults from the two studies were integrated in a latent level analysis, incorporating ecological and postcolonial feminist frameworks. The projects findings are discussed in relation to areas of future research required to ensure effective care for this understudied population.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".