SynthesisPloS one2026
Parenthood and care in academia: Publication counts, self-assessed productivity, and gendered differences.
Synthesis in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
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Authors and funding
4 authors.
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Abstract
How does parenthood relate to academic productivity when we look beyond publication counts? We synthesize evidence from five small-scale meta-analyses and present original survey data from academic professionals combining (i) objective outcomes (publications per year and a standardized real-effort task), (ii) subjective assessments (self-reported productivity loss), and (iii) qualitative evidence from open-ended responses on perceived (dis)advantage and work identity. Meta-analytic estimates are statistically indistinguishable from zero and characterized by extreme heterogeneity, suggesting limits of publication-based metrics for capturing care-related mechanisms. In our survey, parenthood is not robustly associated with objective productivity once demographic, occupational, and caregiving covariates are considered, including in within-individual panel fixed-effects models. By contrast, perceived productivity loss rises nonlinearly with within-couple childcare imbalance, with stronger effects when respondents shoulder a dominant share of care and clear gender heterogeneity. Multinomial models and text analysis show a lexical and evaluative divergence: academics who reject parenthood as an advantage emphasize time scarcity and care responsibilities, while those affirming an advantage invoke focus, efficiency, and personal development. We argue that the apparent inconsistency of parenthood effects reflects a mismatch between what productivity metrics count and how caregiving reshapes constraints, capacities, and evaluation. We discuss design principles for academic assessment that better align recognition with performance under care constraints.
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