Literature DB >> 26529899

Perceptions of Gender and Femininity Based on Language: Implications for Transgender Communication Therapy.

Adrienne B Hancock, Holly Wilder Stutts, Annie Bass.   

Abstract

Recent research presents a picture of diminishing gender differences in language. Two experiments examined whether language use can predict perceptions of gender and femininity; one included male and female speakers telling a personal narrative, the other also included male-to-female transgender speakers and analyzed an oral picture description. In each experiment, raters read transcribed samples before judging the gender and rating the femininity of the speaker. Only number of T-units, words per T-unit, dependent clauses per T-unit, and personal pronouns per T-unit emerged as different between gender groups. As none of the variables were strongly correlated with perceptual judgments, regression analysis was used to determine how combinations of linguistic variables predict female/feminine ratings. Results from these two studies demonstrate that gender-related differences in language use for these two contexts are limited, and that any relationship of language to perceptions of gender and femininity is complex and multivariate. This information calls into question the utility of training key language features in transgender communication therapy.

Mesh:

Year:  2015        PMID: 26529899     DOI: 10.1177/0023830914549084

Source DB:  PubMed          Journal:  Lang Speech        ISSN: 0023-8309            Impact factor:   1.500


  3 in total

1.  Auditory-Perceptual Rating of Connected Speech in Aphasia.

Authors:  Marianne Casilio; Kindle Rising; Pélagie M Beeson; Kate Bunton; Stephen M Wilson
Journal:  Am J Speech Lang Pathol       Date:  2019-04-04       Impact factor: 2.408

2.  Mitigating Implicit Bias in Radiation Oncology.

Authors:  Dayssy Alexandra Diaz; Gita Suneja; Reshma Jagsi; Parul Barry; Charles R Thomas; Curtiland Deville; Karen Winkfield; Malika Siker; Terri Bott-Kothari
Journal:  Adv Radiat Oncol       Date:  2021-06-24

Review 3.  AphasiaBank as BigData.

Authors:  Brian MacWhinney; Davida Fromm
Journal:  Semin Speech Lang       Date:  2016-02-16       Impact factor: 1.761

  3 in total

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