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Record W4406832067 · doi:10.1163/9789004721647_002

Queer Trailblazing in TESOL

2025· book-chapter· en· W4406832067 on OpenAlexaboutno aff
Cynthia Nelson

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicGender Studies in Language
Canadian institutionsnot available
Fundersnot available
KeywordsQueerLinguisticsSociologyComputer scienceHistoryMathematics educationPhilosophyMathematicsGender studies

Abstract

fetched live from OpenAlex

What catalysed the emergence of queer studies in English Language Teaching (ELT)? What setbacks and successes marked those early years? What key insights from this history might be of use today? This chapter traces the genesis of the teacher-led movement for queer visibility within the international organisation Teachers of English to Speakers of Other Languages (TESOL), starting at the 1992 convention in Vancouver, Canada, with the first queer presentation in TESOL’s then 26-year history, which was inspired by an informal gathering of LGBTQ teachers the previous year in New York City. I tell the untold story of how teachers liaised across geographic regions to start and grow a queer movement in the global field of ELT through the 1990s—all while contending with logistical hurdles (in a pre-Internet era) and overt opposition (including death threats). I focus on key aims, challenges, and turning points of the early years of this movement, narrating my own recollections of significant events (as one of the teachers who spearheaded the movement) and drawing from relevant professional documents: convention materials, Task Force business, and TESOL publications. I then distil some strategies that proved useful in queering ELT back then and that might be relevant in the very different yet perhaps not altogether different contexts of ELT today.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.936
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.031
GPT teacher head0.317
Teacher spread0.286 · 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 designNot applicable
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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Same topicGender Studies in LanguageFrench-language works237,207