Fetal alcohol spectrum disorder diagnostic clinics in Canada: “It wouldn’t happen if nobody wanted it to happen”
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
BACKGROUND: We address the question: If you wanted to start a fetal alcohol spectrum disorder (FASD) diagnostic clinic, what would you need to do, think about, and plan for, from a policy perspective? Our aims were to understand how clinics are developed and established and the key factors that facilitate their success. METHOD: Within a pragmatist epistemology, we conducted a basic qualitative study using semistructured interviews. Interviews were conducted with 12 key informants from 10 diagnostic clinics. Data were analysed using iterative thematic analysis. RESULTS: We derived five themes pertaining to our objectives: (i) listening and responding to your community; (ii) community buy-in and practical steps; (iii) multidisciplinary team trust, respect, and collaboration; (iv) the clinic coordinator; and (v) promoting uniqueness and learning from each other. CONCLUSIONS: Our findings demonstrated the importance of local, community-based planning, team cohesion, and opportunities for mentorship in the development of new FASD clinical services.
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 | 0.001 | 0.018 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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