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Record W3199677150 · doi:10.24095/hpcdp.41.9.05

FASD prevalence among children and youth: results from the 2019 Canadian Health Survey on Children and Youth

2021· article· en· W3199677150 on OpenAlexaffvenueabout
Sarah Palmeter, Adam Probert, Claudia Lagacé

Bibliographic record

VenueHealth Promotion and Chronic Disease Prevention in Canada · 2021
Typearticle
Languageen
FieldMedicine
TopicPrenatal Substance Exposure Effects
Canadian institutionsPublic Health Agency of Canada
Fundersnot available
KeywordsFetal Alcohol Spectrum DisorderIndigenousMedicinePrevalenceDemographyEnvironmental healthPediatricsPregnancyPopulation

Abstract

fetched live from OpenAlex

INTRODUCTION: The lack of national fetal alcohol spectrum disorder (FASD) prevalence estimates represents an important knowledge gap. METHODS: Using data from the 2019 Canadian Health Survey on Children and Youth, the prevalence of FASD was examined by age, sex and Indigenous identity. Median age of diagnosis and comorbid long-term health conditions were also assessed. RESULTS: The prevalence of FASD among Canadian children and youth living in private dwellings was 1 per 1000 (0.1%). The prevalence was significantly higher among those who identified as Indigenous and lived off reserve (1.2%). CONCLUSION: These findings are in keeping with FASD prevalence studies that used similar passive surveillance methods. They provide a starting point to better understanding the prevalence and burden of FASD in Canada.

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 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.036
Threshold uncertainty score0.994

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 studies0.0000.000
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 head0.020
GPT teacher head0.276
Teacher spread0.256 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations16
Published2021
Admission routes3
Has abstractyes

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