Community Life and Development Programs – Pathways to Healing
Bibliographic record
Abstract
This chapter provides an overarching framework for understanding the components of healthy<br/>communities through a healing and community life development approach. The chapter<br/>explores three major themes covering the nature of the trauma that has occurred over many<br/>generations and continues to be experienced in the present. These are:<br/><br/>- the extreme sense of powerlessness and loss of control;<br/>- the profound sense of loss, grief and disconnection; and<br/>- the overwhelming sense of trauma and helplessness.<br/><br/>In turn, there are three pathways to recovery to address each of these areas of trauma that have<br/>occurred as a consequence of the history of colonisation and its impacts:<br/><br/>- self-determination and community governance;<br/>- reconnection and community life; and<br/>- restoration and community resilience.<br/><br/>Most significantly we argue that Aboriginal worldviews, developing a comprehensive, holistic<br/>approach that focuses on individual, family and community strengths whilst at the same time<br/>addressing the needs of the community, is both a more culturally acceptable and effective<br/>approach to address these issues.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.008 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.016 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.025 | 0.003 |
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".