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Record W156232256 · doi:10.18584/iipj.2013.4.1.2

The Physical and Mental Health of Off-Reserve First Nations Children of Teen Mothers

2013· article· en· W156232256 on OpenAlexafffundvenueabout
Anne Guèvremont, Dafna Kohen

Bibliographic record

VenueInternational Indigenous Policy Journal · 2013
Typearticle
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsStatistics Canada
FundersAboriginal Affairs and Northern Development Canada
KeywordsProsocial behaviorMental healthPsychologyPhysical healthDevelopmental psychologyPsychiatry

Abstract

fetched live from OpenAlex

The teen birth rate for First Nations women is higher than the teen birth rate for non-Aboriginal women. While associations between physical and behavioural outcomes have been examined in non-Aboriginal children with teen mothers, fewer studies have focused on First Nations children of teen mothers. This study uses data from the 2006 Aboriginal Children’s Survey to compare physical and mental health outcomes of 2- to 5-year-old off-reserve First Nations children of teenage and older mothers. There were few differences in physical health outcomes between off-reserve First Nations children of teen mothers and older mothers with the exception of dental health. However, for all of the mental health outcomes examined, child prosocial behaviours, emotional symptoms, inattention-hyperactivity, and conduct problems, scores were poorer for off-reserve First Nations children of teen mothers. Although the differences in prosocial and emotional problems were attributable to socio-economic factors, differences in child inattention-hyperactivity and conduct problems were not. Future research would help our understanding of the differences in outcomes between off-reserve First Nations children of teen 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 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)0.000
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 score0.529
Threshold uncertainty score0.866

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.014
GPT teacher head0.334
Teacher spread0.320 · 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

Citations8
Published2013
Admission routes4
Has abstractyes

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