Bibliographic record
Abstract
We used a case study approach to explore the experiences of 4 women who live with environmental illness (EI). From the unstructured interviews we found a variety of themes that pointed to the complexity of EI and its severe impact on the lives of these women, their families, and their significant others. The methodology was guided by an ecofeminist approach, which enabled a critical analysis of the data to move beyond the personal to the broader sociopolitical forces shaping society. We identified the following themes from the women's stories: indirect exposure to incitants through people with whom these women come in close physical contact; the phenomenon of burden of proof, meaning that these women are forced to explain and legitimize their illness on a continuous basis; taking refuge from a hostile environment in social isolation to a more controlled environment, not as a matter of choice, but because of the severity of the illness; and, finally, a change in value system was integral to the entire process of living with EI.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 teacher head, 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".