MétaCan
Menu
Back to cohort

[Commentary] WHAT WE SEE DEPENDS MAINLY ON WHAT WE LOOK FOR (JOHN LUBBOCK, BRITISH ANTHROPOLOGIST, 1834–1913)

2008· letter· en· W1996682166 on OpenAlexaff
David C. Hodgins

Bibliographic record

VenueAddiction · 2008
Typeletter
Languageen
FieldPsychology
TopicGambling Behavior and Treatments
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPsychologyEntertainmentSubstance abuseAlcohol abuseGambling disorderPsychiatryCriminologyAddictionPolitical scienceLaw

Abstract

fetched live from OpenAlex

The gambling and gambling disorders field has been influenced strongly by the more extensive and more mature body of research reported in the substance use and abuse area. In fact, a number of top substance abuse researchers have shifted into gambling research as gambling disorders have become an increasing concern world-wide. Stewart and colleagues [1] are extending to gambling work that which they and others have conducted on drinking motives. The results of this instrument development study suggest that there are a number of similarities between gambling and drinking motives. Three factors were uncovered that predicted differentially gambling frequency and gambling problems, mainly consistent with the alcohol literature. With alcohol, this research line has led to practical advancements in tailoring treatments to motives [2,3], and the hope is that similar advancements will be made for gambling. Although the impact of substance abuse research on the gambling field has been mainly positive, the potential weakness is that substance abuse researchers will find only what they look for. Stewart and colleagues recognize this potential limitation when they note that there are possibly other motives unique to gambling, not measured by their instrument. I remember very clearly, at my first gambling conference in the early 1990s when I was shifting over to gambling from substance abuse, Garry Smith, a gambling research pioneer (now a close colleague) describing the ‘4 E's of gambling’—entertainment, excitement, escape and to win money (economic gain)’. The first three of these motives correspond roughly to Stewart's gambling motives. Concerning the fourth reason, however, the financial motive is specific to gambling and, in fact, is a very frequently reported reason for gambling. Garry Smith's mnemonic summarized findings from a set of ‘reasons for gambling’ questions that have been included in many of the general population gambling prevalence surveys that have been conducted around the world (e.g. [4–6]). A little investigation revealed that the origin of these questions came from Rachel Volberg and Max Abbott, who included an open-ended question about reasons for gambling in a New Zealand general population survey of gambling (R. Volberg, personal communication, 10 April 2008). Responses were coded into categories with the following results: 57% mentioned winning money as the main reason they gambled; 33% said that they gambled for fun or entertainment, took pleasure in gambling or saw it as fun or recreation; 19% said that they gambled to support worthy causes; 15% said they gambled to socialize; and 15% said they gambled for the excitement or challenge. In numerous subsequent surveys these questions have been asked in closed format, with broadly similar results over time and geography. Most recently a 2006 survey of Californians showed that of weekly gamblers, 75.0% reported entertainment to be somewhat or very important; 66.0% winning money; 48.1% excitement; and 41.3% socializing [6]. In this survey and others [5,6], however, pathological and problem gamblers were more likely to endorse the winning money motive than non-problem gamblers. The importance of money as a motivation was also revealed in some of our research when pathological gamblers described their reasons for relapsing when attempting to quit gambling—optimism about winning and the need to win money were the two most frequently reported relapse precipitants [7]. Using gambling as a strategy to win money is, of course, unrealistic given the clear house advantage in typical gambling situations. This paradox has been identified as a major erroneous cognition that is the focus of cognitive treatment for gambling problems [8]. It may be that the motive is actually the possibility of winning money versus an expectation of actually winning. Survey items such as the ‘reasons for gambling’ options are designed for use in large samples, and scales with stronger psychometric qualities are required for more detailed study with smaller clinical groups. While Stewart and colleagues provide a validated scale to measure some aspects of motives for gambling, other important aspects of this fascinating disorder are also deserving of our attention.

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 categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.152
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.070
GPT teacher head0.353
Teacher spread0.283 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreCommentary

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

Citations12
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueAddictionSame topicGambling Behavior and TreatmentsFrench-language works237,207