Associations Between Voice and Gestural Characteristics of Transgender Women and Self-Rated Femininity, Satisfaction, and Quality of Life
Bibliographic record
Abstract
Purpose Client-based subjective ratings of treatment and outcomes are becoming increasingly important as speech-language pathologists embrace client-centered care practices. Of particular interest is the value in understanding how these ratings are related to aspects of gender-affirming voice and communication training programs for transgender and gender-diverse individuals. The purpose of this observational study was to explore relationships between acoustic and gestural communication variables and communicator-rated subjective measures of femininity, communication satisfaction, and quality of life (QoL) among transfeminine communicators. Method Twelve acoustic and gestural variables were measured from high-fidelity audio and motion capture recordings of transgender women ( n = 20) retelling the story of a short cartoon. The participants also completed a set of subjective ratings using a series of Likert-type rating scales, a generic QoL questionnaire, and a population-specific voice-related QoL questionnaire. Correlational analyses were used to identify relationships between the communication measures and subjective ratings. Results A significant negative relationship was identified between the use of palm-up hand gestures and self-rated satisfaction with overall communication. The acoustic variable of average semitone range was positively correlated with overall QoL. No acoustic measures were significantly correlated with voice-related QoL, and unlike previous studies, speaking fundamental frequency was not associated with any of the subjective ratings. Conclusions The results from this study suggest that voice characteristics may have limited association with communicator-rated subjective measures of communication satisfaction or QoL for this population. Results also provide preliminary evidence for the importance of nonverbal communication targets in gender-affirming voice and communication training programs.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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".