Related papers: Hidden Division of Labor in Scientific Teams Revealed Through 1.6 Million LaTeX Files

Hidden Division of Labor in Scientific Teams Revealed Through 1.6 Million LaTeX Files

URL: http://arxiv.org/abs/2502.07263v1
Date: Tue, 11 Feb 2025 05:07:36 GMT
Title: Hidden Division of Labor in Scientific Teams Revealed Through 1.6 Million LaTeX Files
Authors: Jiaxin Pei, Lulin Yang, Lingfei Wu,
Abstract summary: We analyze author-specific macros in files from 1.6 million papers (1991-2023) by 2 million scientists.<n>Using explicit section information, we reveal a hidden division of labor within scientific teams.
Score: 37.77089168249056
License: http://creativecommons.org/licenses/by/4.0/
Abstract: Recognition of individual contributions is fundamental to the scientific reward system, yet coauthored papers obscure who did what. Traditional proxies-author order and career stage-reinforce biases, while contribution statements remain self-reported and limited to select journals. We construct the first large-scale dataset on writing contributions by analyzing author-specific macros in LaTeX files from 1.6 million papers (1991-2023) by 2 million scientists. Validation against self-reported statements (precision = 0.87), author order patterns, field-specific norms, and Overleaf records (Spearman's rho = 0.6, p < 0.05) confirms the reliability of the created data. Using explicit section information, we reveal a hidden division of labor within scientific teams: some authors primarily contribute to conceptual sections (e.g., Introduction and Discussion), while others focus on technical sections (e.g., Methods and Experiments). These findings provide the first large-scale evidence of implicit labor division in scientific teams, challenging conventional authorship practices and informing institutional policies on credit allocation.

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