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Record W2564459673 · doi:10.9741/2327-8455.1348

Doubling Down on Goffman: A Commentary on Dmitri Shalin’s ‘Erving Goffman, Fateful Action, and the Las Vegas Gambling Scene’

2016· article· en· W2564459673 on OpenAlexaff
James Cosgrave

Bibliographic record

VenueUNLV Gaming Research & Review Journal · 2016
Typearticle
Languageen
FieldPsychology
TopicGambling Behavior and Treatments
Canadian institutionsTrent University
Fundersnot available
KeywordsDramaturgySociologyAction (physics)Symbolic interactionismPsychoanalysisEpistemologySocial scienceAestheticsPhilosophyPsychology

Abstract

fetched live from OpenAlex

Erving Goffman “was not a sociologist of any particular area” (Scheff 2006: 20). He was, in fact, a sociologist of many areas: the interaction order, stigma, “total institutions,” gender, “forms of talk,” public behaviour – and gambling certainly belongs to the list. He may be better known for these other topics, but his contributions to the sociological analysis of gambling are canonical. Thus, another sociological hat can be worn. A unique, inventive social scientist, Goffman could pull off the donning of many such hats. Bucking the standard presentation of social scientific research in journal articles, Goffman was the “master of the long essay,” a format “ungainly in the social sciences” (Handler 2012: 180; Smith and Jacobsen 2010). “Where the Action Is” (Goffman 1967) is a rich, long essay, manifesting the originality and insight found across his oeuvre. With this essay, Goffman proclaims himself a gambling romantic – situated among those sociologists and social theorists who positively valued gambling activities in the face of the levelling tendencies and utilitarian values of modern society (Walter Benjamin, George Bataille, and Roger Caillois come to mind as well). The positive valuing of gambling is clearly expressed in “Where the Action Is,” prompting Downes et al (1976: 17) to remark on the social scientific significance of the piece that it “lifts gambling out of the moral abyss into which successive generations of commentators and reformers have consigned it and renders possible a consideration of its meaning which is freed from a priori association of a negative kind.”

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)0.010
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.874
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.001

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 head0.412
GPT teacher head0.525
Teacher spread0.113 · 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 designOther design
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

Citations1
Published2016
Admission routes1
Has abstractyes

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