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Record W2606327830 · doi:10.1057/978-1-137-56479-5_50

Subversive Imagination: Smoothing Space for Leisure, Identity, and Politics

2017· book-chapter· en· W2606327830 on OpenAlexaff
Brian E. Kumm, Corey W. Johnson

Bibliographic record

VenuePalgrave Macmillan UK eBooks · 2017
Typebook-chapter
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsPoliticsLate capitalismSociologyIdentity (music)Identity politicsAestheticsCapitalismGender studiesPolitical scienceLaw

Abstract

fetched live from OpenAlex

This chapter offers an exploration of the dynamics and interrelationships of leisure, identity, and politics in a conceptual framework of spatiality, territoriality, and becoming. Taking the work of Deleuze and Guattari ( Anti-Oedipus: Capitalism and schizophrenia , 2009, A thousand plateaus: Capitalism and schizophrenia , 2011) as our guiding philosophical and theoretical orientation, we attempt to provoke a subversive imagination coupled with a pragmatics useful for thinking, feeling, and living differently within our contemporary, late capitalist moment where social, economic, and political powers tend to impinge and subordinate movement toward justice, equality, and equity. Urging geopolitical understandings of identity and encouraging cartographic practices of leisure inquiry, we call for active engagement to smooth the striated space of leisure to engender greater diversity, equity, and justice. Ultimately, this chapter introduces concepts we deem sufficiently forceful, imaginative, and subversive to challenge common conceptions of leisure, identity, and politics and break open possibilities for greater variegation and diversity in how leisure scholarship approaches these concerns.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.019
Scholarly communication0.0070.007
Open science0.0010.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0100.001

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 head0.052
GPT teacher head0.332
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 source (direct Gemma or distilled Codex), not a consensus.

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

Citations11
Published2017
Admission routes1
Has abstractyes

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