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Record W2979564869 · doi:10.5206/uwomj.v88i1.6109

“Our people are feeling there’s no hope for the future”: Indigenous teenagers and youth culture as a coping strategy in the archive of the Sioux Lookout Zone Hospital, 1969-1996

2019· article· en· W2979564869 on OpenAlexaffvenueabout
North De Pencier, Drishti Dhawan, Gerald McKinley

Bibliographic record

VenueUniversity of Western Ontario Medical Journal · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsWestern University
Fundersnot available
KeywordsLonelinessFeelingIndigenousCoping (psychology)SociologyPsychologySocial psychologyPsychiatryEcology

Abstract

fetched live from OpenAlex

Introduction: To analyze the use of youth culture as a coping mechanism by youth in the Sioux Lookout Zone from 1969 to 1996. Method: This project employs an archival research method to study the records of the Sioux Lookout Zone Hospital, located at the University of Toronto. The hospital was operated by the federal government for Status Indians. From 1969 to 1996, the hospital’s medical service was provided by the University of Toronto. Discussion: The period of 1969 to 1996 was a challenging time for teenagers in the Sioux Lookout Zone. They had poor job prospects and often struggled with the loneliness of attending high school in southern communities. They turned to youth culture as a coping mechanism, sometimes in healthier ways such as rock music and fashion, but also in less healthy ways such as substance use and gang membership. Conclusion: This project serves as a case study of the challenges that faced youth in the Sioux Lookout Zone in order to contribute to our understanding of the historical antecedents of the poor health outcomes of youth in the Sioux Lookout Zone today.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.789
Threshold uncertainty score0.420

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.006
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0010.002
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 head0.009
GPT teacher head0.242
Teacher spread0.232 · 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 designQualitative
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
Published2019
Admission routes3
Has abstractyes

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Same venueUniversity of Western Ontario Medical JournalSame topicIndigenous Health, Education, and RightsFrench-language works237,207