Constructions and Deconstructions of Risk, Resilience and Wellbeing: A Model for Understanding the Development of Aboriginal Adolescents
Bibliographic record
Abstract
A developmental framework for understanding issues of risk, resilience, and wellness among Aboriginal adolescents in Canada and elsewhere is presented. As these constructs are not monolithic, simplistic linear risk models of a specific predictor to a specific outcome are inadequate to conceptually capture the complexities of real-life patterns. Accordingly, the conceptual focus is on ideal constructions of competence within the context of continually ongoing transactions in which the adolescents effect and are effected by the various layers and components of the environment. However, the pragmatics of empirical research necessitate simpler approaches in which outcomes are predicted from specific factors. Nonetheless, in keeping with the notion of the complexity of all individuals, competence and wellness are viewed within the framework of the 'whole child' across domains of academic success, behavioural competence and appropriateness, social adaptation, and emotional health within the context of the specific community. Although Aboriginal communities within Quebec, across Canada, the United States and elsewhere, differ considerably with regard to history, culture, language, and priorities for its youth, this approach allows for the universal application of a framework, for which specifics can be modified in relation to the unique and changing aspects of societies, communities, and the individuals within.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.032 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.001 | 0.004 |
| 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".