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Record W4214869825 · doi:10.25071/2564-2855.4

He, (s)he/she, and they

2021· article· en· W4214869825 on OpenAlexaffvenue
B O'Neill

Bibliographic record

VenueWorking papers in Applied Linguistics and Linguistics at York · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicGender Studies in Language
Canadian institutionsYork University
Fundersnot available
KeywordsIdeologyGender studiesSociologyIdentity (music)HarmDiversity (politics)PerformativityAestheticsSocial psychologyPolitical sciencePoliticsPsychologyLawPhilosophy

Abstract

fetched live from OpenAlex

Gender-focussed language reform movements are underpinned by not only gender but also language ideologies. This study explores the relationship between these ideologies across anti-sexist and anti-cis-sexist reform movements. The movements target differing outcomes and align with differing ideologies, but I argue that they share an underlying goal and underlying ideological tenets. While anti-sexist reform seeks to improve the status and render legible the experiences of a subordinate but legible identity, namely women, anti-cis-sexist reform aims to unsettle cis-sexist assumptions of gender and render greater gender diversity legible. In targeting these goals, anti-sexist reformers cluster around forms of linguistic relativity, while anti-cis-sexist reformers focus on linguistic performativity. Both ideological stances, however, share underlying conceptualizations of language as limiting and as acting in the world, while both goals share an underlying commitment to harm avoidance. This paper highlights the role of language ideologies, in addition to gender ideologies, in gender-focussed language reform.

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)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.990
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.023
GPT teacher head0.278
Teacher spread0.255 · 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
Published2021
Admission routes2
Has abstractyes

Explore more

Same venueWorking papers in Applied Linguistics and Linguistics at YorkSame topicGender Studies in LanguageFrench-language works237,207