Exploring Women’s Transformative Learning and Community Building through Practicing Martial Arts to Disrupt Gendered and Hetero-Patriarchal Norms
Bibliographic record
Abstract
This article explores the potential for martial arts to support transformation and community building for women. Findings indicate women can derive many individual benefits from learning martial arts. Yet, the benefits must extend beyond the individual level to create social change. Based on an evaluation of literature on women’s experiences learning martial arts, I use my perspective as an adult education researcher and a feminist lens to propose creative approaches to supporting women in learning martial arts. Supporting women in learning martial arts requires promoting creativity and invention in practice. Feminist new materialism, transformative learning theory, and communities of practice are the theories that guide the direction of this article. The major contribution of this article is to offer creative approaches for imagining a feminist praxis through martial arts that could foster learning environments that encourage self-determination and build social support and resistance to hetero-patriarchal power and gender inequity, which has relevance to broader educational settings and communities.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".