Fetal alcohol spectrum disorder: diagnostic outcomes in Northeastern Ontario
Bibliographic record
Abstract
The current document is a paper-based thesis examining the diagnostic outcomes of children and youth who presented for Fetal Alcohol Spectrum Disorder (FASD) assessment in Northeastern Ontario. While past research has identified many functional difficulties and challenges that are associated with FASD, little is currently known about this population in Northeastern Ontario. Therefore, as part of a nation-wide FASD initiative conducted by the Canada FASD Research Network (CanFASD), the current study employed a retrospective chart review and secondary data analysis of children and youth who have been assessed for FASD at the Sudbury FASD Diagnostic clinic, which services the Northeastern Ontario region. The first paper is a descriptive overview of those who presented for FASD assessment, and further compares the individuals who received an FASD diagnosis and those who did not. Findings demonstrate a need to support individuals with prenatal alcohol exposure through multiple service entities within the region. The second paper examines the intelligence quotient (IQ) scores and related adverse outcomes among the children and youth in the sample who received an FASD diagnosis. Findings support the known weakness with IQ in describing the difficulties and needs of individuals with FASD, and further highlight the importance of an early diagnosis to lessen the risk of adverse outcomes. Suggestions for future research and clinical implications are also discussed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| 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".