Bodies on the Line: The In/Security of Everyday Life in Aamjiwnaang
Bibliographic record
Abstract
When you walk onto the Aamjiwnaang First Nations reserve, residents tell you to pay attention to your body. 1 Your lips might tingle, your body temperature may rise, a rash may appear, you may get a headache; you will smell the stench of pollution in the air. Smokestacks on the horizon dominate the landscape. Your heart may race as fear and anxiety about the unknown health effects set in. Psychosomatic affect becomes a real, embodied experience. Community members express anger, laugh off the experiences through black humour, or turn inward and deny their circumstances (Luginaah, Smith and Lockridge, 2010). These are common emotions of normalization, for those living amidst uncertainty ‘on the volcano of civilization’ at the ‘contours of a risk society’ (Beck, 1986). This chapter is about the location of risk and insecurities of everyday life, where some bodies are emplaced in vulnerable environments, bearing the burden of modern civilization more so than others. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".