Finding answers, improving outcomes: a case study of the Canada fetal alcohol spectrum disorder research network
Bibliographic record
Abstract
Purpose The purpose of this paper is to present a profile of the Canada fetal alcohol spectrum disorder (CanFASD) research network which is descriptive in nature and profiles the work of the network and its national activities. CanFASD is a unique Canadian, non-governmental organization whose aim is to engage cross-disciplinary research and knowledge translation for stakeholders and partners including communities, policy makers and governments. Design/methodology/approach A case study approach was undertaken to describe the network whose main focus and purpose is specifically research related to FASD. Findings The creation of CanFASD has contributed to a strong network of researchers on key topic areas including diagnosis, prevention, intervention, justice and child welfare, with a focus on evidence-based decision making, research and knowledge exchange. A key role of the network is to provide access to research and education on FASD nationally. Research limitations/implications A case study approach, while descriptive, does not provide the details of specific research projects. Originality/value CanFASD has had a key role in stimulating meaningful dialogue and research in the field of FASD. The need exists to collaboratively work on a national and international basis in response to the distinct challenges posed by FASD for individuals, families and society.
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How this classification was reachedexpand
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".