Voices of Experience: Queer Language Teachers’ Advice for New Second Language Educators
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 study presents the narratives of 12 queer-identifying second language (SL) teacher experiences in Canada as they offer advice to their queer pre-service and early-career peers about the realities and complexities of teaching a SL. Using narrative inquiry with three rounds of semi-structured interviews, the data reveal several themes about the experiences of queer SL teachers in their initial teacher education (ITE) program: SL teachers lack support, resources, and mentorship in ITE and in beginning practice around navigating the intersections of their identities, SL pedagogy, community, and policy. Implications for SL ITE programs to enhance inclusivity for queer pre-service teachers are offered, particularly in relation to increasing inclusive language teaching strategies, disrupting anti-queer hate in schools, and the need for mentorship opportunities for queer SL teachers.
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 | 0.001 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.010 | 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