The past, present, and future of fetal alcohol spectrum disorder work in Newfoundland and Labrador: A landscape paper for change
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVES: In this paper, we provide an overview of best practices in FASD prevention, diagnostic, and interventions and supports. In Canada, people diagnosed with Fetal Alcohol Spectrum Disorder (FASD) represent a fraction people living with FASD. While social stigma may deter people from seeking an FASD diagnosis, other deterrents include the lack of screening and diagnostic referrals, cost of travelling to a clinic, and lack of clarity of how a diagnosis may improve supports and services. Preventing FASD and improving lifelong outcomes for people living with FASD requires a coordinated approach between prevention, diagnostic, intervention, and support efforts. METHODS: Using the example of Newfoundland and Labrador, a province where 60% of the population lives in rural communities and benefits from being involved in national initiatives and partnerships, we discuss efforts underway in other Canadian provinces to address FASD. RESULTS: We make three recommendations that begin to address FASD-specific needs in both rural and urban regions: a) a provincial FASD consultant position, b) an explicit partnership between provincial government and fasdNL, and c) increased access to FASD diagnostic teams. CONCLUSION: While the recommendations are both modest and essential first steps, we also suggest that collaborations and resource-sharing in FASD prevention and supports are more about doing things differently, rather than doing more.
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.
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) | 0.001 | 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 it