The Aftermath of Intergenerational Trauma: Substance Use Risk and Resiliency
Bibliographic record
Abstract
The present study explored resilience factors to substance use within Canada’s First Nations adults. This was explored through a lens of historical trauma experienced as a group through the Residential School establishments. Secondary data from phase II (2008/10) of the Regional Health Survey were analyzed in coming to determine the effects of resiliency factors in the lives of abstainers/low substance users, moderate users and heavy users. Analysis of variance tests revealed some significant differences in experience with resilience factors in the lives of abstainers/low users versus heavy users; no significant observations were had for the moderate group. Logistic regression analysis was then applied to the two opposing groups and several of the resilience factors were found to be predictive of abstinence/low use. Implications for our Northern Partners of the Mamow Ki- ken- da- ma- win team, First Nations communities, as well as the counselling field in general are discussed from a strengths-based perspective.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".