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Record W2161295496 · doi:10.4309/jgi.2007.20.8

Recall of electronic gaming machine signs: A static versus a dynamic mode of presentation

2007· article· en· W2161295496 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Gambling Issues · 2007
Typearticle
Languageen
FieldPsychology
TopicSafety Warnings and Signage
Canadian institutionsnot available
Fundersnot available
KeywordsScrollingRecallCued recallMode (computer interface)HarmFree recallCued speechPsychologyComputer scienceAdvertisingAudiologyCognitive psychologySocial psychologyMedicineHuman–computer interactionArtificial intelligenceBusiness

Abstract

fetched live from OpenAlex

This study compared differences in rates of free and cued recall for messages displayed on electronic gaming machines (EGMs) delivered in one of two display modes: static or dynamic. Rates of recall were investigated in a laboratory setting using 92 university students (75.0% female) with a mean age of 19.3 years (SD = 2.4 years). The static mode consisted of a fixed government-mandated message placed on the frame of an EGM directly next to the gaming buttons. In the dynamic mode, an identical message was presented in the form of a translucent display scrolling across the screen during play. Results showed that significantly more of the information presented in dynamic mode was recalled, and with greater accuracy, in both free recall and cued recall conditions compared with static government-mandated messages. It was concluded that the method of displaying signs influences awareness and recall of harm minimization messages.

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.515
Threshold uncertainty score0.423

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 studies0.0000.000
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 head0.076
GPT teacher head0.440
Teacher spread0.364 · 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