A Critique of the New Canadian Fetal Alcohol Spectrum Disorder Guideline.
Bibliographic record
Abstract
A new Fetal Alcohol Spectrum Disorder (FASD) guideline was published in the Canadian Medical Association Journal in 2016. This is relevant to the mental health field as mental health symptoms and psychiatric disorders are often identified as associated with and/or part of FASD presentations. Unfortunately, the new guideline has not advanced understanding of the interface between FASD and mental health problems; rather it may contribute to additional confusion. For example, a new recommendation to include additional mental health symptoms, such as anxiety and affect dysregulation, as manifestations contributing to a diagnosis of FASD is particularly concerning given the paucity of evidence supporting this assertion and the potential to distort delivery of mental health interventions for mental health problems. In addition, the guideline recommendation for introducing an "at risk for FASD" designation is not without risk. An appeal is made for greater scrutiny in the construction of diagnostic criteria and guidelines and for a more careful delineation of causal relationships and comorbidities to better inform the delivery of evidence-based mental health care.
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 | 0.050 | 0.180 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.005 | 0.010 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.010 | 0.004 |
| Research integrity | 0.021 | 0.031 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".