Environmental degradation and climate change as violence against the Earth: Associations with violence against women’s bodies
Bibliographic record
Abstract
Violence against women (VAW) and violence against the Earth (VAE) have always shared a unique and complex association yet to be explored. The fields of VAW and VAE have evolved in separate routes, with divergent theoretical foundations but with little integration. While the impact of VAW has received much attention over the years, relatively little thought has gone into the intersections. Drawing parallels between society’s treatment of the physical and natural environment and its treatment of women, this paper will pull in insights to broaden and clarify the way VAW has been conceptualized, its association with the physical and natural environment (Mother Earth), and the constructs and the commitments that flow from them. In this paper, we formulate, cast, and present an expanded understanding of the relationship between violence against the physical and the natural environment and VAW. The article, an offshoot of our conceptualization on the inter-linkages between VAW and VAE, is being submitted for interpretation and application.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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; 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".