Evidence map›Paper›PMID 42130081›Full record

ArticleCanadian review of sociology = Revue canadienne de sociologie2026

Pandemic Shadows: Unmasking Gender Disparities in Academic Productivity and Work-Family Conflict.

Marisa Young, Nicole McNair, Gabriella Christopher, Loa Gordon

Abstract read
In one paragraph

Article in Canadian review of sociology = Revue canadienne de sociologie, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Marisa YoungMcMaster University, Hamilton, Canada.
Nicole McNairMcMaster University, Hamilton, Canada.
Gabriella ChristopherDalla Lana School of Public Health, University of Toronto, Toronto, Canada.
Loa GordonMcMaster University, Hamilton, Canada.ORCID https://orcid.org/0000-0002-6885-1165

Funding

Social Science Humanities Research Council Canadian Research Chair Funds CRC-2019-00301
6 · The paper itself

Abstract

Women academics experience inequalities across multiple facets in the university context, including research productivity; teaching, advising and mentoring responsibilities; service workload; and cross-over stress between work and family obligations. The COVID-19 pandemic exacerbated these gender disparities. Drawing upon 2021 data from 467 research faculty and staff at a lead research university in Canada, we highlight such inequalities. While descriptive statistics suggest that men and women report similar perceived setbacks in productivity due to COVID-19, results from structural equation models (SEM) estimating mediating associations tell a different story. These analyses demonstrate that women were disadvantaged compared to their male counterparts during the pandemic because of unequal exposure to work-family conflict, which strongly correlates with the perception of lost productivity. We further hypothesized that faculty and research staff with young children would perceive lowered productivity during the pandemic, and that these burdens would be stronger for women than men. However, we did not find evidence to support these predictions. We unpack these results and conclude our paper with a discussion about the importance of rethinking the operationalization of "productivity" in post-secondary institutions, given women's differential exposure and vulnerability to stressors during the pandemic.

Indexed as

COVID-19EfficiencyFacultySexismCanadaFemaleHumansMalePandemicsRole ConflictSex FactorsUniversities

Identifiers

PMID42130081
PMCPMC13172658

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.