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Record W2891673309 · doi:10.4309/jgi.2018.39.10

Don’t talk to them, they will not understand: How poker players experience criticism and stigma

2018· article· en· W2891673309 on OpenAlexvenueno aff
Niri Talberg

Bibliographic record

VenueJournal of Gambling Issues · 2018
Typearticle
Languageen
FieldPsychology
TopicGambling Behavior and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsCriticismPsychologySocial psychologyCompetence (human resources)LawPolitical science

Abstract

fetched live from OpenAlex

In this qualitative study, 15 poker players described a lack of understanding and unfair criticism from non-players, both of which made them unwilling to discuss poker. A theoretical framework, based on classical theories from Goffman (1963), Becker (1963) and Douglas (2003), was used to analyze the players’ perspectives. This article argues that the society’s reluctance to acknowledge poker players’ competence might cause a lack of dialogue between players and non-players. Over time, this situation may cause players to consider themselves outsiders. This result could contribute to make it difficult to combine poker playing with the life outside and to encourage former professional poker players into education or other jobs. In poker, unlike most forms of gambling, a personal connection operates between the winning and losing players. A common criticism against successful poker players is that they are cynical, and take advantage of weak or compulsive players. Previous research has hypothesized that cultural differences operate with players relate to opponents with potential gambling problems. This study identifies three different approaches and attitudes poker players may have towards suspected compulsive gamblers, and suggests that players from Nordic welfare states are more likely to empathize with compulsive gamblers than players from more market liberal countries. The players in this inquiry generally stated that they disliked playing against suspected problem gamblers, and argued that it created for them difficult ethical dilemmas. To confront a stranger with a gambling problem then advise him or her to stop was described as challenging, especially in front of other players.RésuméDans cette étude qualitative, 15 joueurs de poker ont décrit un manque de compréhension et une critique injuste de la part de non-joueurs, ce qui les rend peu enclins à discuter de poker. Un cadre théorique basé sur les théories classiques de Goffman (1963), de Becker (1963) et de Douglas (2003) a été utilisé pour analyser les perspectives des joueurs. Cet article soutient que la réticence de la société à reconnaître la compétence des joueurs de poker pourrait entraîner un manque de dialogue entre les joueurs et les non-joueurs. Avec le temps, les joueurs peuvent se sentir marginalisés. Cela pourrait nuire à la possibilité de combiner le poker avec la vie en dehors du jeu et d’amener les anciens joueurs de poker professionnels à poursuivre des études ou occuper d’autres emplois. Au poker, contrairement à la plupart des formes de jeu, il existe un lien personnel entre les joueurs gagnants et perdants. On critique souvent les joueurs de poker gagnants d’être cyniques et de profiter de joueurs faibles ou compulsifs. Des recherches antérieures ont émis l’hypothèse qu’il existe des différences culturelles dans la façon dont les joueurs se lient aux adversaires ayant des problèmes de jeu potentiels. Cette étude relève trois approches différentes que les joueurs de poker peuvent adopter vis-à-vis des joueurs présumés compulsifs, et laisse entendre que les joueurs provenant d’États-providence du Nord sont plus susceptibles de sympathiser avec les joueurs compulsifs que les joueurs des pays libéraux. Les joueurs de cette étude ont généralement déclaré qu’ils n’aimaient pas jouer contre des joueurs soupçonnés d’avoir des problèmes de jeu et ont fait valoir que cela les mettait dans des dilemmes éthiques difficiles. Affronter un étranger ayant un problème de jeu et lui conseiller de se détendre a été décrit comme un défi, surtout devant les autres joueurs.

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)0.000
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.275
Threshold uncertainty score0.689

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.301
GPT teacher head0.450
Teacher spread0.149 · 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 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

Citations7
Published2018
Admission routes1
Has abstractyes

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