Nonbinary Beginning Teachers: Gender, Power, and Professionalism in Teacher Education
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
Background/Context: In recent years, Canadian and U.S. schools have increased efforts to recognize gender diversity and reduce gender-based harassment, in large part because a growing number of young people are coming out as transgender or nonbinary in adolescence. However, little research explores nonbinary teachers’ experiences or investigates barriers to their entry into the profession. Purpose: This article begins to fill this gap by showing how six nonbinary beginning teachers navigated gender expectations, worked to appear professional, and negotiated racial and gendered power dynamics in their initial teacher education and preservice teaching. Participants: Participants include six nonbinary preservice teachers of diverse gender expression and racial and class backgrounds who were enrolled or had recently completed teacher education in North America when the study was conducted in 2018. Research Design: This qualitative study employed in-depth, phenomenological interviews. This article uses Sara Ahmed’s concept of the “willful subject” to consider how participants negotiated the relationship between their gender identities as nonbinary people and their nascent professional identities as teachers. Conclusion: These beginning teachers expressed concern about succeeding in their teacher education programs and worried about how others perceived them because of the expectation of normative gender implicit in teaching’s professional norms. This expectation was enforced by the profession’s gatekeepers more than by K–12 students and their families, who participants generally described as hospitable or indifferent to having a nonbinary teacher. If the profession is to genuinely welcome gender diversity, it must recognize and work to deconstruct its own gender normativity.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 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 | 0.000 | 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 it