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Record W7162087229 · doi:10.82308/34474

Il, elle, on…iel est : queer (socio) linguistics and identity amongst franco-anglophone gender non-binary young people in Montreal

2021· dissertation· en· W7162087229 on OpenAlexaboutno aff
Maxen Jack-Monroe

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicGender Studies in Language
Canadian institutionsnot available
Fundersnot available
KeywordsQueerIdentity (music)RepertoireExpression (computer science)FrenchDiscourse analysisLanguage and gender

Abstract

fetched live from OpenAlex

The city of Montreal is known for its linguistic diversity, with both French and English being dominant languages in specific spheres. Montreal has also long had a strong LGBTQ presence, which is a draw for many queer people moving to the city. However, for many non-binary people in the city, linguistic expression is a challenge, especially as grammatical gender in French makes expressing oneself as a gender other than male or female quite difficult. Using Queer Linguistics, poststructuralism, and Rymes’ (2014) concept of communicative repertoire as groundwork, this interview-based inquiry aims to create a better understanding of how young English-and-French speaking gender non-binary people living in Montreal navigate the French and English languages. This thesis explores how French grammatical gender has been adapted by these speakers. Factors found to be important were non-binary identities, changes in language use based on context, the social and linguistic spaces participants found to help foster self-understanding and inclusivity, and ways in which such spaces can be made more inclusive. Keywords: non-binary, transgender, grammatical gender, gender-neutral language, gender-inclusive language, Montreal, French, identity expression, poststructuralism, sociolinguistics, safer spaces

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.733
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.013
GPT teacher head0.310
Teacher spread0.297 · 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
GenreEmpirical

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
Published2021
Admission routes1
Has abstractyes

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Same topicGender Studies in LanguageFrench-language works237,207