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Record W7083699440 · doi:10.15273/hpj.v5i1.12341

Transforming FASD Diagnosis in Newfoundland and Labrador: A Community Collaborative Approach for Capacity Building and Network Development

2025· article· en· W7083699440 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueHealthy Populations Journal · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicLatin American Legal and Economic Studies
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsCollaborative networkReferralFetal Alcohol Spectrum DisorderWork (physics)Capacity buildingHealth careCommunity of practiceProcess (computing)

Abstract

fetched live from OpenAlex

This commentary delves into fasdNL's innovative work in establishing a comprehensive diagnostic network for fetal alcohol spectrum disorder (FASD) in Newfoundland and Labrador (NL). Although unparalleled in its complexity, FASD remains a persistently underdiagnosed and under-resourced lifelong condition. fasdNL, a community-based non-profit organization in NL, has significantly enhanced diagnostic capabilities and training for healthcare professionals, streamlined referral assessments, and addressed persistent gaps in FASD evaluation. The creation of fasdNL’s Diagnostic Network represents a significant step forward in improving FASD diagnosis and support within the province. fasdNL’s training program is grounded in the principles of Inter-Professional Health Education (IPHE), designed to foster collaboration among diverse health professionals. By emphasizing the importance of a multi-disciplinary approach to FASD diagnosis, the initiative enhances clinicians' capacity to work collaboratively in line with the Canadian FASD Diagnostic Guidelines. This training model not only improves diagnostic capacity but also promotes inter-professional practice by encouraging knowledge exchange and collaborative decision-making among healthcare providers. Further, it underscores the crucial role and potential of community organizations in addressing collaborative assessment and diagnostic processes by building on existing capacities within their regions.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.068
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.084
GPT teacher head0.361
Teacher spread0.276 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it