“As a Woman, I Learned to Be Hard”: Exploring a Network of Dualisms in the Geoscience Education Department
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper explores how geoscience education contributes to a 'linked networked of dualisms ' (Plumwood, 1991) that reinforce binary distinctions between feminine/masculine, nature/culture and emotion/reason.We examine how those demarcations get enacted at the level of the 'skin' (Ahmed & Stacy, 2001) and are felt as 'atmospheric practices' (Bill & Somensen, 2021).The linkage between those dualisms became apparent following interviews with 'Jessica' a graduate student in the geoscience department retelling her experiences with sexual harassment and microaggressions in a culture where she had to 'learn how to be hard' as part of a 'work hard, play hard' culture.We explore the various ramifications of 'hardness' in relation to the gendered and material practices that perform Jessica's ways of being as a student in the geoscience department.One conclusion is that 'over-representation of the rationalist Man' (Wynter, 2003) in this setting happens affectively, at the level of the skin.
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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 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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 it