Bibliographic record
Abstract
In this paper, we discuss the importance of community resilience for Aboriginal health and well-being. The concept of resilience has been used in developmental psychology and psychiatry to describe individuals ’ capacities to achieve well-being and thrive despite significant adversity. Resilience is also a useful concept in ecology where it draws attention to the ability of ecosystems to adapt to environmental stress through transformation. The study of community resilience builds on these concepts, to understand positive responses to adversity at the level of families, communities and larger social systems. Despite historical and ongoing conditions of adversity and hardship many Aboriginal cultures and communities have survived and done well. In this review, we critically assess the various definitions of resilience as applied to individuals. We then examine resilience as applied to families, communities and larger social systems. We examine links between the concept of resilience and social capital. We then consider interventions that can promote resilience and well-being in Aboriginal communities. These include strengthening social capital, networks and support; revitalization of language, enhancing cultural identity and spirituality; supporting families and parents to insure healthy child development; enhancing
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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 | 0.005 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.003 | 0.013 |
| Scholarly communication | 0.004 | 0.009 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".