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Record W1491941552 · doi:10.2307/27784376

Memory for committing a crime: Effects of arousal, proximity, and gender

2009· article· en· W1491941552 on OpenAlexaff
Heather L. Price, Zina Lee, J. Don Read

Bibliographic record

VenueThe American Journal of Psychology · 2009
Typearticle
Languageen
FieldNeuroscience
TopicMemory Processes and Influences
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsPsychologyCentralityRecallArousalCognitive psychologyCognitionProxy (statistics)Social psychologyTask (project management)

Abstract

fetched live from OpenAlex

Few researchers have investigated the memories of active participants in an emotionally arousing crime. The present study used a mock crime paradigm to explore participant memories for a low, moderate, or highly arousing event. Forty-seven undergraduate participants committed a "theft" of an exam from a professor's office. Two weeks after the theft, participants completed a cognitive interview, recalled objects from the professor's office, and constructed a map of the route to and from the crime room. Arousal improved reports on a map recall task but no other recall indices. Although there was a general superiority of recall of proximal over distal details, arousal only infrequently interacted with proximity. Some support was found for proximity (spatial-temporal distinction) as a useful proxy for centrality. Future work will benefit from an examination of the overlap between definitions of centrality and proximity with more traditional stimuli.

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)0.001
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 score0.178
Threshold uncertainty score0.211

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 studies0.0000.001
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 head0.055
GPT teacher head0.376
Teacher spread0.321 · 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 designBench or experimental
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

Citations2
Published2009
Admission routes1
Has abstractyes

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