The risk society at work in the Sydney ‘Tar Ponds’
Bibliographic record
Abstract
This paper explores the implications of environmental contamination on the perceived health impacts, effects on daily life and coping mechanisms of residents living near the Tar Ponds in Sydney, Nova Scotia. The site contains over 700,000 tonnes of contaminated sediments and is considered one of the most contaminated commercial–industrial sites in Canada [Canadian British Consultants Limited (CBCL) and Conestoga Rovers and Associates (CRA) 1999 Phase 1 Site Assessment: Muggah Creek Watershed, Sydney, Nova Scotia]. Resident fears regarding perceived health risks, as well as other concerns related to property values and the viability of the local economy have been reinforced by distrust of government and of science. These concerns have been sustained by clean‐up delays. In response, many residents have engaged in forms of activism as a prominent form of coping, while several residents have kept well‐informed and sought social support. These findings indicate that the process of remediation and site clean‐up must be sensitive to local context.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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; both teacher heads agree on what is shown here.
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".