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Record W2513450900 · doi:10.1177/0309132516660207

From post-game to play-by-play

2016· article· en· W2513450900 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueProgress in Human Geography · 2016
Typearticle
Languageen
FieldPsychology
TopicAdventure Sports and Sensation Seeking
Canadian institutionsMcMaster University
Fundersnot available
KeywordsVitalityScholarshipAestheticsFeelingField (mathematics)SociologySpace (punctuation)PoliticsEpistemologySocial psychologyPsychologyPolitical scienceLawComputer scienceArt

Abstract

fetched live from OpenAlex

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.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.123
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.312
Teacher spread0.298 · 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