Managing fetal alcohol spectrum disorder in the public school system: a needs assessment pilot.
Bibliographic record
Abstract
BACKGROUND: Published data and Canadian population reports suggest that approximately 1% of students in Toronto may have learning problems related to Fetal Alcohol Spectrum Disorders (FASDs). It is therefore imperative to understand how the needs of affected students are being met by various practitioners in their school environment. To date no comprehensive follow-up studies on FASD-affected children, families and educators in Toronto public schools are available. Documentation of school experiences associated with FASDs is needed to aid in developing appropriate and efficient intervention models for FASDs. OBJECTIVES: Identify and document needs as related to school capacities and education practitioner capabilities with respect to their abilities to support children diagnosed with FASDs. METHODS: A qualitative approach using semi-structured interviews was utilized for this exploratory pilot study. Twelve practitioners from various disciplines, all of whom work for Toronto public schools participated. RESULTS: Participants represented approximately 3500 students enrolled amongst their schools and classrooms. Only one respondent reported having worked with a child diagnosed with an FASD during their career. Education practitioners commonly report a lack of knowledge of FASDs and how to appropriately plan for affected children. CONCLUSIONS: Practitioners need additional supports in order to address FASDs in their schools. As this is the first pilot study on FASDs in the Ontario school system, further study is warranted.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".