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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 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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.890
Threshold uncertainty score1.000

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 studies0.0010.001
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 head0.052
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 teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreOther

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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