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Code for "Formally Comparing Topic Models and Human-Generated Qualitative Coding of Physician Mothers' Experiences of Workplace Discrimination"

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 27 Dec 2022 English Publisher:Zenodo
Authors: Sheridan A Stewart; Adam S Miner; Meghan C Halley; Laura K Nelson; Eleni Linos;

doi: 10.5281/zenodo.7486092 , 10.5281/zenodo.7486093

Code for "Formally Comparing Topic Models and Human-Generated Qualitative Coding of Physician Mothers' Experiences of Workplace Discrimination"

Abstract

Code for "Formally Comparing Topic Models and Human-Generated Qualitative Coding of Physician Mothers' Experiences of Workplace Discrimination" This repository contains the code used in "Formally Comparing Topic Models and Human-Generated Qualitative Coding of Physician Mothers' Experiences of Workplace Discrimination" by Adam S. Miner, Sheridan A. Stewart, Meghan C. Halley, Laura K. Nelson, and Eleni Linos. Please refer to the original paper in Big Data & Society. In this paper, we evaluate whether topic models identify themes similar to those found by human coders in a prior qualitative analysis of physician mothers' experiences of workplace discrimination. More detail is available at the main page for the repository.

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Keywords

motherhood penalty, occupational health, natural language processing, topic model, qualitative research, attitude of health personnel

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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