The CIET Aboriginal Youth Resilience Studies: 14 Years of Capacity Building and Methods Development in Canada.
Bibliographic record
Abstract
CIET started supporting Canadian Aboriginal community-based researchers of resilience in 1995. An evolving approach to Aboriginal resilience used a combination of standard instruments and questionnaires of local design. Over the years, CIET measured personal assets like sense of coherence, spirituality, knowledge, pride in one's heritage, mastery or self-efficacy, self-esteem, low levels of distress, involvement in traditional ways and activities, church attendance. Other indicators reflected the social dimension of resilience: feeling supported; parental care and support; parental monitoring, attitudes, and example; peer support; and support from the wider community.Pride in one's heritage, self-esteem, low distress, and mastery were measurable personal assets of resilient Aboriginal youth in a variety of cultures and circumstances. Early efforts to link resilience with specific features of culture or spirituality did not meet with success - largely reflecting failure to ask the right questions. Parental care and support, parental monitoring, parental attitudes, and parental example clearly supported the resilient Aboriginal youth in most settings. But peers are an even stronger influence, critical in relation to different types of behaviour from smoking to drinking to substance abuse to violence, unsafe sex, and suicidal tendencies. More generally, having someone to confide in, to count on in times of crisis, someone to give advice and someone who makes one feel cared for are important factors in youth resilience and something that communities can help to provide even where the family is not the support it should be and where peers are more of a hindrance than a help.CIET currently supports three resilience research projects involving Aboriginal youth in Canada: suicide prevention, reduction of HIV risk, and reduction of domestic violence. The latest resilience measurement tools include enculturation and revised approaches to Aboriginal spirituality.
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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 | 0.045 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.009 | 0.015 |
| Science and technology studies | 0.013 | 0.004 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.005 | 0.009 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".