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Record W25218242

The physical and mental health of Inuit children of teenage mothers.

2012· article· en· W25218242 on OpenAlexaffabout
Anne Guèvremont, Dafna Kohen

Bibliographic record

VenuePubMed · 2012
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsStatistics Canada
Fundersnot available
KeywordsMental healthPopulationPhysical healthPsychologyMedicinePsychiatryEnvironmental health
DOInot available

Abstract

fetched live from OpenAlex

BACKGROUND: The physical and mental health of children of teenage mothers differs from that of children of older mothers. Compared with the overall population of Canada, Inuit experience first-time pregnancy earlier. However, little population-based research has examined health outcomes for Inuit children of women who began childbearing in their teens. DATA AND METHODS: This study uses data from the 2006 Aboriginal Children's Survey to compare physical and mental health outcomes of 2- to 5-year-old Inuit children of teenage and older mothers. RESULTS: The physical and mental health outcomes of Inuit children differed depending on whether their mother had been a teenager or aged 25 or older when she began childbearing. Although some differences were explained by socio-economic factors, others, namely, ear infections, dental problems and hyperactivity/inattention, were not. INTERPRETATION: Further research is needed to determine what underlies differences in the mental and physical health of Inuit children of teenage and older mothers.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.807
Threshold uncertainty score0.385

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.023
GPT teacher head0.323
Teacher spread0.299 · 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 source (direct Gemma or distilled Codex), 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

Citations8
Published2012
Admission routes2
Has abstractyes

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