Perceptions of health and environmental contamination on the Aamjiwnaang First Nation reserve (Ontario).
Bibliographic record
Abstract
This research study explores how pollution from surrounding petro-chemical industry affects how aboriginal people on the Aamjiwnaang First Nation reserve construct their understandings of the land, the environment, and themselves as people. The residents are aware of the pollution around them, especially since tests of soil and water demonstrate high levels of toxic by-products of the industry. Traditionally, the self, land and spirituality formed coherent constructions of understanding the aboriginal self. Aboriginal people have a strong connection to their land and the environment as it forms part of their spirituality as well as relied upon for their modes of sustenance. This study is guided by Arthur Kleinman's ecological model that looks at perceptions of health from a cross-cultural perspective, within the context of the professional, popular and folk domains. A qualitative research design was used to explore how the Aamjiwnaang people understand environmental contaminants, and how they balance these threats to the land with their identity, spirituality and culture. Eighteen interviews were conducted with residents of the Aamjiwnaang First Nation ranging in age from 41 to 59. This research provides insight into the identity construction of aboriginal people, and how the Aamjiwnaang people in particular are finding ways to maintain their culture and sense of self when their land is plagued with toxicity. This research found that the Aamjiwnaang people understand health and environmental contamination from within the popular and folk domains, relying on their ties to their community, family and obligations, as well as their indigenous knowledge sources and value systems. Their everyday stories about their changing lifestyle and foods/consumption patterns illuminated how the health and well-being of their people have been deeply affected by ground and airborne contamination, forcing them to fight back against the destruction to their environment.Dept. of Sociology and Anthropology. Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis2006 .B43. Source: Masters Abstracts International, Volume: 45-01, page: 0168. Thesis (M.A.)--University of Windsor (Canada), 2006.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 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".