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Record W1992998019 · doi:10.1177/0193723515570676

Camaraderie Reincorporated

2015· article· en· W1992998019 on OpenAlexaff
Gavin Weedon

Bibliographic record

VenueJournal of Sport and Social Issues · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Games and Media
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsSensibilityEthosEvent (particle physics)Element (criminal law)CONTESTSociologyObstacleAestheticsEngineeringPolitical scienceArtLaw

Abstract

fetched live from OpenAlex

Tough Mudder, a market-leading event in the burgeoning practice and industry of mud running, is a 21 km “military-style” obstacle course with a curiously collaborative ethic. Teams of runners traverse the course in the name of fun, fitness, bravado, and much more besides, galvanized around Tough Mudder’s distinctive ethos of togetherness. This essay sets out to reassemble the “camaraderie” for which Tough Mudder is renowned as an element and outcome of material, corporeal, and symbolic enactments, and, with actor-network theory as a guiding sensibility, recasts it as a profoundly shared endeavor, one in which a whole host of actors, human and otherwise, make dramatic and subtle contributions.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.881
Threshold uncertainty score0.167

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.047
GPT teacher head0.328
Teacher spread0.280 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations41
Published2015
Admission routes1
Has abstractyes

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