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Record W2112608645 · doi:10.3138/ijih.v2i1.28939

Resiliency and Holistic Inhalant Abuse Treatment

2005· article· en· W2112608645 on OpenAlexvenueaboutno aff
Colleen Anne Dell, Debra Dell, C. A. Hopkins

Bibliographic record

VenueInternational Journal of Indigenous Health · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsIntoxicative inhalantAddictionPsychologySpiritualityPublic relationsSociologyPolitical scienceCriminologyMedicinePsychiatryAlternative medicine

Abstract

fetched live from OpenAlex

In Canada, a major and innovative national response to inhalant abuse among First Nations youth has been the establishment of residential treatment centres through the federally funded National Native Youth Solvent Addiction program (NNYSA). This paper focuses on the role of a holistic conception of resiliency in inhalant abuse treatment in the NNYSA program. A blending of policy and practice issues and their contribution to the health status of First Nations youth inhalant abusers guide the paper’s discussion of resiliency and its fundamental role in NNYSA’s traditional Native teachings program. A holistic conception of resiliency is viewed as a key contributor to the program’s achievements to date. The focus on resiliency has been identified in assisting youth in uncovering their inner spirit and strengthening their spirit by drawing on available community resources. Data and case illustrations from two NNYSA treatment centres–White Buffalo Youth Inhalant Treatment Centre (Prince Albert, Sask.) and Nimkee NupiGawagan Healing Centre (Muncey, Ont.)–are presented. The paper also offers NNYSA policy solutions that have been guided by a holistic concept of resiliency and account for the intersecting roles of culture, spirituality, and community in creating and maintaining the health of First Nations youth solvent abusers. The paper concludes with suggestions for future research.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.986
Threshold uncertainty score0.999

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 studies0.0020.000
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 head0.027
GPT teacher head0.373
Teacher spread0.346 · 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.

Study designNot applicable
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

Citations42
Published2005
Admission routes2
Has abstractyes

Explore more

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