Epistemological Perspectives on Concepts of Gender and Masculinity/Masculinities
Bibliographic record
Abstract
This article questions the epistemology implied in the enunciation of the concept of masculinity, whether singular or plural. How are we to understand the epistemology underlying such a theory? In present time it seems that epistemological theorization about such problems is often neglected and Men's Studies prefer a more applied orientation. However, the specificity of Men's Studies as a disciplinary field largely depends of the way they can ground their task in face of other disciplines, especially Women Studies. We propose an understanding of the concept of masculinity/ies in reference to the discursive stance of Men's Studies theorists. From there, we focus on the dualism implied in the dominant concept of masculinity in Men's Studies. We try to envisage what happens when this dominant dualistic epistemological stance is challenged by the conceptions of knowledge and natural body emanating from the so-called science and religion dialogue.
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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 | 0.011 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.006 | 0.078 |
| Scholarly communication | 0.008 | 0.008 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".