Getting to the Heart of Science: Rosalie Bertell’s Eco-Feminist Approach to Science and Anti-Nuclear Activism
Bibliographic record
Abstract
This article focuses on Rosalie Bertell’s activist work with Indigenous communities in the Marshall Islands, Canada, and the United States. It examines how Bertell’s religious identity and her involvement in the eco-feminist, social justice, and anti-nuclear movements influenced her to develop a distinct approach to epidemiology. Bertell drew upon eco-feminist philosophy to challenge predominant ideas about scientific objectivity and detachment as they developed in modern epidemiology. She adopted a situated approach to epidemiology by relying on her expertise in biostatistics and incorporating a multi-disciplinary set of tools for perceiving radiation damage in the body to do small-scale community health studies. Bertell’s study model was shaped by the specific environmental health concerns of communities, designed to encourage community involvement, and intended for use as a political tool. Most significantly, with it she challenged the notion that scientists could achieve scientific objectivity only through detachment from the subjects of one’s analysis.
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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 | 0.009 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.034 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.005 | 0.009 |
| 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 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".