Bibliographic record
Abstract
For transmasculine individuals who undergo testosterone therapy, a lower pitch is often one of the most desired results, both for personal affirmation as well as for how a low pitch is gendered by others. This paper explores how members from a peer support group for transmasculine individuals articulate their experiences taking testosterone. During interviews participants discussed their apperception of the acoustic changes in their voices (Zimman 2012, 2018) as well as the recognition of this change by others. In this paper, I explore how their apperceptions of their voices are organized around a cluster of related qualia of the voice (Harkness 2014, 2017) such as “heaviness”, “deepness”, “resonance”, and social “weightiness”. As their voices lower in pitch over time and they are more frequently gendered as men in social spaces, they navigate shifting positionalities of privilege, and I show how their descriptions of their voices naturalize various qualia of the voice, linking “deepness” to the social “weight”, or power, of a voice.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.021 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".