Becoming a minimalist athlete: A sociological investigation into the forms, meanings, and lived experiences of minimalism within recreational sports
Bibliographic record
Abstract
In a societal context dominated by the logics of growth, acceleration and accumulation, minimalism represents an alternative approach that aims to intentionally explore the possibility of doing good or even better with less or without . This article investigates the development of minimalist forms of practice among recreational athletes. For this purpose, we interviewed 38 recreational athletes, all of whom were involved in a wide variety of sports (road or trail running, weightlifting, MovNat , yoga, etc.) and wished to practice their discipline according to a minimalist approach. Five main forms of detachment were identified, from: digitalization; sports equipment; conventional sports shoes; strict and complex training programs; and mass sporting events. The three main categories of meaning and motivation underpinning engagement in an intentionally minimalist process were self-care and self-optimization, spiritual quest, and act of political resistance. These different minimalist approaches have led to the reconfiguration of lived experiences in sporting practice through a “reconnection to…” (one's natural surroundings, own sensations, animalistic, or childlike nature), and “liberation” (including physical and psychological alleviation).
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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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.009 | 0.060 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 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".