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Record W3122537291

Legitimate Deviance and Social Class: Bar Behaviour During Grey Cup Week

2017· article· en· W3122537291 on OpenAlexaboutno aff
Alan Listiak

Bibliographic record

VenueSSRN Electronic Journal · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicCrime Patterns and Interventions
Canadian institutionsnot available
Fundersnot available
KeywordsSolidarityDeviance (statistics)ConformityParticipant observationSociologyMiddle classSocial controlSocial psychologyPoliticsPolitical sciencePsychologySocial scienceLaw
DOInot available

Abstract

fetched live from OpenAlex

It is commonly known that there are times when and places where widespread deviant behaviour is socially sanctioned and highly tolerated, when, it may be said, deviant behaviour is legitimate. During periods of legitimate deviance a Out is from the demands of accountability and conformity, social control is relaxed, and almost anything goes. Such Time Outs are often called by ceremonial arrangement and take the form of ritualistic festivals, fiestas, celebrations, parties, and the like. Such rituals are theorized to provide controlled settings for the release of social tensions and to facilitate community integration and solidarity. These theoretical propositions are examined by a replication of Ossenberg's (1969) study of Calgary Stampede festivities. A study of the week-long urban festival surrounding the Grey Cup in Hamilton, Ontario was conducted. Festival participation was measured by participant observation of behavior in downtown drinking establishments. As with the Calgary Stampede, it was found that the Grey Cup festival was mostly a middle-class binge with limited participation by persons characterized as upper- or working-class. This finding does not support the theorized community integration and increased solidarity function of urban festivals. Implications regarding the political and business sponsorship of the Grey Cup and other urban festivals is examined.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.449
Threshold uncertainty score0.997

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 studies0.0050.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.035
GPT teacher head0.345
Teacher spread0.310 · 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 designObservational
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

Citations2
Published2017
Admission routes1
Has abstractyes

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