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Record W2200671217 · doi:10.11588/ijodr.2014.1.9464

Gamer Links to Dream Bizarreness and Lucidity: A Failure to Replicate

2014· article· en· W2200671217 on OpenAlexaff
Jayne Gackenbach, Beena Kuruvilla, Mary-Lynne Ferguson, Keyfer Mathewson, Mycah Darlington

Bibliographic record

VenueUniversity Library Heidelberg · 2014
Typearticle
Languageen
FieldNeuroscience
TopicSleep and Wakefulness Research
Canadian institutionsMacEwan University
Fundersnot available
KeywordsDreamPsychologyLucid dreamAssociation (psychology)Varimax rotationDevelopmental psychologyPsychotherapistPsychometrics

Abstract

fetched live from OpenAlex

Two studies examined the relationship between various measures of video game play, dream bizarreness and dream type, with an emphasis on dream lucidity. The varimax rotated factor analyses with some variables of each type replicated across studies, showing no association between gaming, dream bizarreness and dream lucidity. In follow-up factor analyses in each study with more information, some association was found between age of beginning play (younger) and dream bizarreness. Of additional interest is that the oft claimed association between dream bizarreness with lucidity was also not supported with one analysis showing a negative association. This calls into question methods of lucid dream induction that recommend attention to oddities as a way to get lucid in sleep.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.035
metaresearch head score (Gemma)0.161
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Reproducibility · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.965
Threshold uncertainty score0.183

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0350.161
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0030.002
Science and technology studies0.0010.003
Scholarly communication0.0030.002
Open science0.0020.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.017
GPT teacher head0.222
Teacher spread0.205 · 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 source (direct Gemma or distilled Codex), not a consensus.

Study designObservational
DomainReproducibility
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

Citations4
Published2014
Admission routes1
Has abstractyes

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