Feelings, Realizations, and Reflections of a Female Physical Education Teacher Confronting Experiences of Institutional(ized) Gender Inequality: An Autoethnography
Bibliographic record
Abstract
This autoethnographic study intertwines personal experience with scholarly inquiry, inviting a deep exploration of the lived experiences and realities of a female physical education (PE) teacher. Wonderings about identities, conformity to masculine norms, and proving oneself to staff and students led to a review of relevant literature, journal entries, and meaningful conversations with critical friends. Through analysis and coding of emotions and reoccurring events, five themes emerged: male teaching partners and colleagues; student interactions; interactions with parents; administrative and peer support; and outside organizations. The results acknowledge the intricate interplay between self, society, PE environments, and culture. It is our hope that these reflections and realizations will connect with other women (and men) in the PE field and ignite further contemplation, conversation, and action. This, with the goal of contributing to necessary efforts to strive towards more inclusive and empowering experiences for female PE teachers.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| 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 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".