Gendered Agentic Language Patterns in Evaluative Text
Abstract/Contents
- Abstract
- Differences in the way men and women are described in textual evaluations have been documented in letters of recommendation, professor evaluations, and performance evaluations. To this point, most studies have been done qualitatively. Several studies show that there are differences in the way men and women are described with agentic language, or language describing individual accomplishment with terms like execute, drive, or ambitious. These gendered differences can be consequential in terms of overall performance assessment. A recent study showed that agentic language increases with performance for men but only does so to a point for women before decreasing at the highest levels. Here, we apply computational techniques to show gendered differences in agentic language patterns hold at the scale of an entire technology company for the first time. We construct a lexicon based on relevant literature to obtain frequencies of agentic language terms in the corpus. We find that our analysis of agentic language patterns conceptually replicates a similar study’s findings using entirely new data and methods. We model the findings and find robust significance regarding a positive increase in agentic language for men rising to the top of the organization, but a decrease in agentic language in the reviews of top-performing women. We discuss the implications of a simple computational technique’s ability to capture this phenomenon. We consider potential future applications of this technique to other companies and discuss future research directions.
Description
Type of resource | text |
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Date created | June 5, 2019 |
Creators/Contributors
Author | Schroeder, Hope |
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Subjects
Subject | gender |
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Subject | language |
Subject | symbolic systems |
Subject | agentic |
Subject | computational |
Subject | performance |
Subject | evaluation |
Genre | Thesis |
Bibliographic information
Access conditions
- Use and reproduction
- User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
Preferred citation
- Preferred Citation
- Schroeder, Hope. (2019). Gendered Agentic Language Patterns in Evaluative Text. Stanford Digital Repository. Available at: https://purl.stanford.edu/zf759rr1359
Collection
Undergraduate Honors Theses, Symbolic Systems Program, Stanford University
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- Contact
- hopes@stanford.edu
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