Evidence map›Paper›PMID 38984481›Full record

ArticleeLife2024

Gendered hiring and attrition on the path to parity for academic faculty.

Nicholas LaBerge, Kenneth Hunter Wapman, Aaron Clauset, Daniel B Larremore

Abstract read
In one paragraph

Article in eLife, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Nicholas LaBergeDepartment of Computer Science, University of Colorado, Boulder, United States.ORCID https://orcid.org/0000-0002-4922-3358
Kenneth Hunter WapmanDepartment of Computer Science, University of Colorado, Boulder, United States.
Aaron ClausetDepartment of Computer Science, University of Colorado, Boulder, United States.ORCID https://orcid.org/0000-0002-3529-8746
Daniel B LarremoreDepartment of Computer Science, University of Colorado, Boulder, United States.ORCID https://orcid.org/0000-0001-5273-5234

Funding

Air Force Office of Scientific Research FA9550-19-1-0329National Science Foundation SMA-2226343
6 · The paper itself

Abstract

Despite long-running efforts to increase gender diversity among tenured and tenure-track faculty in the U.S., women remain underrepresented in most academic fields, sometimes dramatically so. Here, we quantify the relative importance of faculty hiring and faculty attrition for both past and future faculty gender diversity using comprehensive data on the training and employment of 268,769 tenured and tenure-track faculty rostered at 12,112U.S. PhD-granting departments, spanning 111 academic fields between 2011 and 2020. Over this time, we find that hiring had a far greater impact on women's representation among faculty than attrition in the majority (90.1%) of academic fields, even as academia loses a higher share of women faculty relative to men at every career stage. Finally, we model the impact of five specific policy interventions on women's representation, and project that eliminating attrition differences between women and men only leads to a marginal increase in women's overall representation-in most fields, successful interventions will need to make substantial and sustained changes to hiring in order to reach gender parity.

Indexed as

FacultyPersonnel SelectionCareer MobilityFemaleHumansMaleSexismUnited StatesUniversitiesdiversityfacultygendernonephysics of living systems

Identifiers

PMID38984481
PMCPMC11236417

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.