MétaCan
Menu
Back to cohort
Record W4288538326 · doi:10.29173/cgs78

“Almost the Same but not Quite”

2022· article· en· W4288538326 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueCritical Gambling Studies · 2022
Typearticle
Languageen
FieldPsychology
TopicGambling Behavior and Treatments
Canadian institutionsUniversity of Alberta
FundersAlberta Gambling Research Institute, University of CalgaryUniversity of Alberta
KeywordsIconographyNarrativeEntertainmentConsumption (sociology)Everyday lifeCultural studiesSociologyVisual cultureSocial mediaAestheticsPsychologyMedia studiesVisual artsEpistemologyArtComputer scienceSocial scienceLiteratureWorld Wide Web

Abstract

fetched live from OpenAlex

Digitally mediated social networking is now an ordinary aspect of everyday life and gambling platforms are designed accordingly. This article explores how changing iconography has facilitated gambling’s rapid integration within social media and interactive entertainment products and platforms. While there is a substantial literature in cultural studies of digital video games and virtual worlds, most of the academic literature on gambling addresses clinical and regulatory challenges associated with problem gambling. As a consequence, the role of visual iconography, gameplay, narrative and soundscapes in constructing cultural spaces and products of gambling has been largely neglected. Critically engaging with established and emerging theories of mimesis and play, we explore how visual design facilitates the growth of new markets for gambling in a digital culture that privileges interactive forms of consumption.

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.

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)0.001
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.591
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.272
GPT teacher head0.492
Teacher spread0.220 · 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