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Record W2995047957

Interspeaker variation in the syntactic processing of referential singular they

2019· dissertation· en· W2995047957 on OpenAlexfundno aff
Trevor Block

Bibliographic record

VenueSummit (Simon Fraser University) · 2019
Typedissertation
Languageen
FieldSocial Sciences
TopicGender Studies in Language
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsVariation (astronomy)Computer scienceNatural language processingLinguisticsMathematicsArtificial intelligencePhysicsPhilosophyAstrophysics
DOInot available

Abstract

fetched live from OpenAlex

Singular they is suggested to be acceptable in the grammar only when referring to indefinite or gender-neutral antecedents. Previous studies have used antecedents of varying gender expectation to test whether singular they can refer to antecedents with gender, but no experimental studies have considered the social variables that could affect the acceptability of singular they in speech. The goal of this study is to compare the acceptability and processing of singular referential they between cisgender and non-binary individuals, as people who identify as non-binary tend to use they, them, and their as their pronouns of personal reference. This study shows thats there are no effects of gender-expectancy in on-line processing across cisgender and non-binary individuals. I also show that sentences with singular they are overall more natural to non-binary individuals than cisgender individuals, suggesting that social variables affect off-line judgments, but not on-line processing.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.529
Threshold uncertainty score0.699

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.017
GPT teacher head0.268
Teacher spread0.251 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2019
Admission routes1
Has abstractyes

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