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Record W7104001905 · doi:10.1123/ssj.2024-0252

Thinking “Bioethically”: Moving Beyond Critique at the Intersection of Biomedicine and the Sociology of Sport

2025· article· W7104001905 on OpenAlexaff

Bibliographic record

VenueSociology of Sport Journal · 2025
Typearticle
Language
FieldSocial Sciences
TopicDoping in Sports
Canadian institutionsWestern University
Fundersnot available
KeywordsScholarshipBiomedicineField (mathematics)CriticismContext (archaeology)Intersection (aeronautics)BioethicsSociology of sport

Abstract

fetched live from OpenAlex

In the sociology of sport, there is a consensus that it is not just our job to analyze our sporting worlds but that we must also intervene in them. In this article, we make a case for how bioethics can serve as a tool in the toolkit that can strengthen one’s analysis and commentary at the intersection of the sociology of sport and biomedicine. First, we provide a brief overview of some of the many key literatures in the field that have engaged with biomedicine. Second, we review several of the main lines of criticism of sport and exercise medicine and of physical activity promotion, noting the important insights that have been generated through these critiques. Building on our discussion of critique, we then describe what we see as four “concerning critical tendencies” related to biomedicine that have emerged in our field and their deeper implications. Third, as a way to dampen the impulse to engage in concerning critical tendencies, we lay out our vision for thinking “bioethically.” Together, we argue that thinking bioethically provides an approach to scholarship that centers sociocultural context alongside empirical evidence, with a goal of bringing about actionable and pragmatic solutions to the problems that some in the field have long identified and critiqued.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.018
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.146
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0180.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0020.065
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.014
GPT teacher head0.336
Teacher spread0.322 · 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; both teacher heads agree on what is shown here.

Study designObservational
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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