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Record W2292320291

Education from inside the bunker: Examining the effect of Defcon, a nuclear warfare simulation game, on nuclear attitudes and critical reflection

2013· article· en· W2292320291 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.

Bibliographic record

VenueLoading... · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicSocial and Intergroup Psychology
Canadian institutionsConcordia University
Fundersnot available
KeywordsBunkerPsychologySocial psychologyTest (biology)Nuclear weaponReflection (computer programming)Affect (linguistics)EngineeringComputer sciencePolitical scienceCommunication
DOInot available

Abstract

fetched live from OpenAlex

This mixed-methods study investigates the hypothesis that playing Defcon, a nuclear warfare simulation game, can affect attitudes toward nuclear weapons and stimulate critical reflection on this issue. Participants were 141 college students who were randomly assigned to game playing (experimental) and article reading (control) conditions. A multivariate repeated measures factorial analysis revealed statistically significant differences between groups for three pairs of pre-/post-test items. In addition, total pre- and post-test scores showed a significant interaction with group assignment, reported frequency of game play, and gender, with women and less frequent gamers exhibiting greater attitude changes. In the second, qualitative phase of the study, 20 additional participants were interviewed to better understand how playing Defcon may stimulate both attitude change and critical reflection about nuclear weapons.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.742
Threshold uncertainty score0.836

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 studies0.0000.000
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 head0.032
GPT teacher head0.367
Teacher spread0.335 · 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