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Record W1795304836 · doi:10.11588/ijodr.2012.1.9080

The relationship between video game play, dream bizarreness, and creativity

2012· article· en· W1795304836 on OpenAlexaff
Jayne Gackenbach, Raelyne L. Dopko

Bibliographic record

VenueheiDOK (Heidelberg University) · 2012
Typearticle
Languageen
FieldPsychology
TopicCreativity in Education and Neuroscience
Canadian institutionsCarleton UniversityMacEwan University
Fundersnot available
KeywordsCreativityPsychologyDreamVideo gameAssociation (psychology)Face (sociological concept)Social psychologyMultimediaComputer science

Abstract

fetched live from OpenAlex

Past research has shown that high-end video game play is associated with bizarre dreams (Gackenbach, Kuruvilla, & Dopko, 2009a). The purpose of this study was to determine if the higher bizarreness in gamers’ dreams could be replicated and if so, to inquire if it is due to the unusual worlds they are exposed to during video game play, or to higher creativity. Through a questionnaire, a two-week dream diary and face-to-face administration of two creativity tests, this study partially replicated the bizarreness advantage associated with gaming previously found. This time number of hours playing a video game the night before was controlled. It was also found that video game play history is related to figural creativity. The positive bizarreness, gaming, creativity association was partially confirmed for males while video game play was associated negatively with bizarreness for women with no creativity link. In separate and joint factor analyses of the major variable clusters (i.e., media use including gaming, bizarreness, and creativity) it was clear that any associations were to gaming and not to other media use the day before the dream.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.220
Threshold uncertainty score0.585

Codex and Gemma teacher scores by category

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

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 head0.080
GPT teacher head0.330
Teacher spread0.250 · 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 designObservational
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

Citations16
Published2012
Admission routes1
Has abstractyes

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