Cross‐sector service use patterns among children with developmental disabilities in a district in Canada
Bibliographic record
Abstract
BACKGROUND: There is a lack of information about cross-sector service use by children with developmental disabilities despite their need for services from multiple sectors. METHODS: Responses to service use questions from a parent-completed survey on school-aged children who attended clinics specific for those with developmental disabilities at a Canadian children's hospital were examined. RESULTS: School meetings were the most common of three professional meeting types attended in the last 12 months (64.9%) for the sample of 205 children. Recreational services were the most common of five service types received in the same time period (79.0%). Using ordinal logistic regression models, a higher number of behavioural difficulties was the only variable consistently related to indices of more meeting types (school, physician, other) attended and more service types received (recreation, respite, etc.). CONCLUSIONS: The service relationship with behavioural problems, and not socio-demographic variables, is consistent with a needs-based oriented delivery system.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".