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Record W7105761839 · doi:10.14288/1.0450717

Queer, Trans, and/or Nonbinary French as a Second Language (FSL) Teachers’ Embodiment of Inclusivity in Their Teaching Practice

2025· article· en· W7105761839 on OpenAlexaboutno aff

Bibliographic record

VenueOpen Collections · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicGender Studies in Language
Canadian institutionsnot available
Fundersnot available
KeywordsEmbodied cognitionNarrativeSecond languageQueerOpposition (politics)Inclusion (mineral)Identity (music)Lived experienceDiscourse analysis

Abstract

fetched live from OpenAlex

Increasingly, scholars are attending to questions of identity and power in French as a second language (FSL) education. An underdeveloped area of research is the experience of queer, trans, and nonbinary FSL teachers in Canada. Understanding how marginalized teachers navigate building inclusive and equitable learning spaces is the focus of this study. To this end, this study used narrative inquiry and photo elicitation methods to understand how—if at all—participants embody inclusivity in their classroom practices. Four themes emerged from this study: (1) (in)visibility of queerness, (2) performing a balancing act, (3) urgency to disrupt, and (4) navigating the teaching of a gendered language. These findings suggest that while participants in this study strive to build inclusive spaces for themselves and their students, external factors, such as fear of opposition and being reprimanded, abound. These findings offer insights into discursive moves to facilitate a meaningfully queered and inclusive FSL learning space, and contributes to the growing body of queer applied linguistics by revealing how queer teachers’ embodied practices can reshape inclusivity in FSL education.

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.751
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.018
GPT teacher head0.362
Teacher spread0.344 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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