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Record W7113356830

Does Anyone Use Sociology, Other Than Sociologists?

2025· other· W7113356830 on OpenAlexaboutno aff

Bibliographic record

VenueOSF Preprints (OSF Preprints) · 2025
Typeother
Language
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsScholarshipGovernment (linguistics)Relevance (law)Interpretation (philosophy)Foundation (evidence)Code (set theory)IBMPosition (finance)
DOInot available

Abstract

fetched live from OpenAlex

Replication package for study: DOI: 10.1007/s12108-025-09647-5 Does Anyone Use Sociology, Other Than Sociologists? The Interdisciplinary Relevance of ASA Journals, 2000-2023 Soli Dubash University of Toronto Gordon Brett University of Hong Kong Acknowledgements We thank Blair Wheaton, Daniel Gruner, and Leslie Barnes, for their contributions to this study. Corresponding author: Soli Dubash. soli.dubash@mail.utoronto.ca, Department of Sociology, University of Toronto, 17100-700 University Ave., Toronto, Ontario, Canada. Authors’ Note The authors contributed equally to this work. Statements and Declarations Funding The research presented in this paper is that of the authors and does not reflect the position of the funding sources. The first author is funded in part by the Ontario Graduate Scholarship Program and the University of Toronto. The second author was supported by the University of Hong Kong’s Seed Fund for Basic Research for New Staff. The funding sources did not have any role in the study design; collection, analysis, and interpretation of data; writing of the report; or the decision to submit the report for publication. Computations were performed on the Niagara supercomputer at the SciNet HPC Consortium. SciNet is funded by: the Canada Foundation for Innovation; the Government of Ontario; Ontario Research Fund - Research Excellence; and the University of Toronto. The authors have no relevant financial or non-financial interests to disclose. Conflict of Interest The authors have no competing interests to declare. Availability of data and material Code which connected to the Niagara supercomputer and queries the Web of Science (WoS) database may be available through request to the first author. Code used to process the data and produce the results, alongside scale-free vector files for the figures, can be found on the OSF repository accompanying this study. Due to licencing restrictions involving the terms of use for the raw WoS XML data, we cannot freely share the data used to produce these results. Author CRediT Statement Gordon Brett: Conceptualization, Writing – original draft, Writing - review & editing. Soli Dubash: Conceptualization, Data curation, Formal analysis, Methodology, Software, Visualization, Writing – original draft, Writing - review & editing. Ethics approval This study uses bibliographic data. No ethics approval was required.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.194
metaresearch head score (Gemma)0.592
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.996
Threshold uncertainty score0.994

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1940.592
Meta-epidemiology (narrow)0.0040.004
Meta-epidemiology (broad)0.0100.007
Bibliometrics0.0100.018
Science and technology studies0.0040.007
Scholarly communication0.0080.015
Open science0.0060.007
Research integrity0.0080.011
Insufficient payload (model declined to judge)0.2210.093

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.024
GPT teacher head0.289
Teacher spread0.265 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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