Resiliency and Holistic Inhalant Abuse Treatment
Bibliographic record
Abstract
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 machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.007 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".