Walking the straight and narrow: linguistic choice and gendered presentation
Bibliographic record
Abstract
The social category of gender is often considered binary in linguistic research, but this division glosses over the myriad identities within the broad categories of 'masculine' and 'feminine'. It also ignores the gendered experiences of participants, particularly transsexuals, for whom language is an important signal of identity. Two sociolinguistic variables (adjectival intensification and the phonetic production of [s]) are used to explore the linguistic construction of gender within a corpus of straight, queer, and transsexual speakers in Ottawa, Canada. Both variables emerge as sites for social identity work, suggesting that speakers with the most to lose practice a kind of linguistic conservatism. Straight men, who run the risk of losing the enormous social capital associated with heteronormative masculinity, take pains to avoid sounding gay or effeminate. Transsexuals, who risk both emotional and physical repercussions should their gender identities be questioned, aim for a safer middle ground.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.037 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".