MétaCan
Menu
← Back to cohort
Record W6986911839

Resiliency factors and substance use among Manitoba First Nation girls living on reserve

2010· dissertation· en· W6986911839 on OpenAlexaboutno aff

Bibliographic record

VenueMspace (University of Manitoba) · 2010
Typedissertation
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsSubstance useSubstance abuseLogistic regressionSubstance abuse preventionPublic healthFirst nationFamily lifeMental healthEthnic group
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this study was to examine the relationships between adversity, resiliency and substance use among Manitoba First Nation girls living on reserve, ages 12 to 17 years. Five hundred and fifty girls completed an in person survey of 138 items on a variety of health and well-being issues. The results of this study indicate that the prevalence of substance use is disturbingly high among First Nation girls. A logistic regression analysis determined that age, family discord, and parental substance abuse were all significant predicators of increased substance use among First Nation girls. Family connectedness, visiting and spending time with family were protective against substance use. Surprisingly, high cultural engagement was not protective against substance use in this study, but beliefs in the importance of cultural activities were protective. In conclusion, this study showed that taking a resiliency approach to examine health behaviors among First Nation girls is beneficial and can best inform policies and programs to reduce substance use.

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 score0.795
Threshold uncertainty score0.408

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 communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.027
GPT teacher head0.242
Teacher spread0.215 · 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

Citations0
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueMspace (University of Manitoba)→Same topicIndigenous Health, Education, and Rights→French-language works237,207→