Exploring how the diagnostic process stratifies children with intellectual disability navigating the service system in Ontario, Canada
Bibliographic record
Abstract
Children with intellectual disability experience a higher prevalence of dental disease, obesity, challenging behaviours, and mental health disorders compared to children without intellectual disability. Children with intellectual disability concurrently face health and social service navigational barriers that are associated with unresolved health needs and hospital admissions, and parent burnout and employment interruptions. In this study, we explored the knowledge gap of how carers and governmental agencies, providing services, understand intellectual disability using discourse analysis, and a theoretical framework applying Deleuze and Guattari's concepts of the rhizome and stratification. We found that children with intellectual disability were stratified into eligible or ineligible service recipients through the diagnostic process that prioritized specified characteristics. Carers did not perceive that their children's unique characteristics and needs were accounted for within the diagnostic process and expressed feelings of being dismissed by clinicians and providers in decision-making about priority needs and services.
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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 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".