Assessment for Intervention of Children with Fetal Alcohol Spectrum Disorders: Perspectives of Classroom Teachers, Administrators, Caregivers, and Allied Professionals
Bibliographic record
Abstract
The present study begins to address the need for evidence-based approaches for guiding the psychological assessment of children with Fetal Alcohol Spectrum Disorders (FASD). This project represents an important step toward increasing links between research and practice in the communication and use of assessment results for informing intervention decisions. Using a qualitative research approach, the current study contributes to knowledge about concerns with current psychological assessment practices and offers suggestions for optimization based on conversations with teachers, administrators, caregivers and allied professionals. Thematic analysis of 11 focus groups and 3 interviews (N = 60) yielded 3 major findings: the need to focus on the whole child, the necessity of an assessment process that is responsive, and building capacity in the school. This study increases the links between research and practice as we move toward a model of assessment for intervention. Such a model has a strong potential for optimizing assessment practices to better meet the needs of children with FASDs as it promotes a shift that focuses on successful child outcomes regardless of diagnosis.
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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 | 0.013 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.004 |
| 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".