Bibliographic record
Abstract
Critical social science is an underused paradigm in sport management. It can, however, help reveal the bad and ugly sides of sport, so we can uncover new ways to promote the good sides of it. The purpose of this article is to demonstrate the relevance of this paradigm for sport management teaching, practice, and research. A key assumption of the critical paradigm is that organizations are best viewed as operating in a wider cultural, economic, and political context characterized by asymmetrical power relations that are historically entrenched. Research is not neutral because the goal is to promote social change by challenging dominant ways of thinking and acting that benefit those in power. Conducting critical sport management research requires a specific skill set and adequate training is essential. Drawing on the work of Alvesson and Deetz (2000), the three tasks required to conduct critical social science are insight, critique, and transformative redefinition. These tasks are described and a number of sport-related examples are provided.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.068 | 0.051 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.007 |
| Science and technology studies | 0.013 | 0.093 |
| Scholarly communication | 0.024 | 0.025 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.007 | 0.011 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".