Bibliographic record
Abstract
As a field of research or possible sub-discipline, sports geography has not realized its full potential. This paper summarizes some of the main subjects investigated and approaches taken to date, then using this as a launching point, describes a particular way forward for research. It is argued that a better engagement with, and showing of, the physicality, energy and feeling of sport might be achieved through employing non-representational theory, itself involving an emphasis on exposing the immediate and moving in life, including the less-than-fully conscious practices, performances and sensations involved. In particular, these arguments are framed by discussions of some of the fundamental qualities of ‘movement-space’ that might be more clearly animated in future scholarship – specifically rhythm, momentum, vitality, infectiousness, imminence and encounter – and are supported by highlighting some pathbreaking sports geographies that have already begun to convey them. It is argued that, whilst these qualities are critical to sport in their own right, importantly they interplay with social, political and economic processes in sport that geographers already have a modest record of engaging with.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.007 |
| Scholarly communication | 0.011 | 0.007 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.035 | 0.011 |
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".