Health impact and the public health response to major job losses in small communities: An overview of the international and New Zealand literature.
Bibliographic record
Abstract
In September 2012, the State Owned Enterprise Solid Energy announced that it would “mothball” its Spring Creek mine near Greymouth, with 200 miners and another 130 contractors losing their jobs.<br>In the knowledge that the loss of a large number of jobs was likely to have a major impact on the health and wellbeing of the small community of the West Coast, Community and Public Health West Coast requested a literature review to inform and support their response. The review starts with the general impact of unemployment on the health and wellbeing of individuals and looks at documented efforts to address the adverse effects. The later part of the review focuses on communities, starting with a brief overview of the international evidence on the health impact of workplace closures, and some examples of community response from Britain, Australia, and Canada followed by three detailed case studies of New Zealand communities that experienced mass layoffs and how they responded. Concluding comments suggest what might be learnt from the literature for the West Coast situation.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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".