Programmes promoted on police service websites to safeguard autistic individuals in Ontario, Canada: an inductive content analysis
Bibliographic record
Abstract
Purpose This study (1) explores what programmes police services promote for autistic individuals on their websites and (2) describes how autistic individuals are constructed in the information about these programmes. Design/methodology/approach All 53 official police service websites in Ontario, Canada, were examined to determine which programmes were promoted for autistic individuals. Inductive qualitative content analysis was used to identify and describe how autism was constructed in the information about the programmes. Findings About 64.8% of police services in Ontario, Canada, promoted at least one programme to autistic individuals and their caregivers. These programmes included Vulnerable Person and Autism Registries, MedicAlert™ and Project Lifesaver™. Autistic individuals were described as vulnerable using medicalised and tragic narratives of autism. Originality/value Autistic individuals and caregivers have suggested several interventions to improve police-autistic individual encounters. Little is known about which interventions police services have adopted and which representations of autism are used to describe autistic individuals.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.006 | 0.008 |
| Science and technology studies | 0.008 | 0.005 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| 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 source (direct Gemma or distilled Codex), 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".