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Record W1890544775 · doi:10.1027/0044-3409/a000016

Non-Idiographic Emotional Script-Driven Imagery in Posttraumatic Stress Disorder

2010· article· en· W1890544775 on OpenAlexaff
Paul Frewen, Ruth A. Lanius

Bibliographic record

VenueZeitschrift für Psychologie / Journal of Psychology · 2010
Typearticle
Languageen
FieldPsychology
TopicPosttraumatic Stress Disorder Research
Canadian institutionsWestern University
Fundersnot available
KeywordsPsychologyRecallNomothetic and idiographicEpisodic memoryAutobiographical memoryPriming (agriculture)Context (archaeology)Cognitive psychologyAnxietyMental imageTraumatic stressDevelopmental psychologyCognitionClinical psychologyNeuroscienceSocial psychology

Abstract

fetched live from OpenAlex

Abnormal emotional responses to standardized emotional stimuli in posttraumatic stress disorder (PTSD) implicate problems in emotional processing less obviously linked to traumatic experiences. However, the personal meaningfulness and association of standardized emotional stimuli with specific episodic memories in PTSD participants has not been investigated. This paper takes the position that emotional processing of standardized stimuli cannot be divorced from the personal meaning these stimuli are ascribed, such as via the priming of episodic memory. Women with PTSD reported greater priming of episodic memories within the context of emotional imagery of standardized scripts, and episodic recall predicted emotional responses to script-driven imagery. Furthermore, greater priming of episodic recall during imagery of fear-anxiety scripts was associated with less response within the ventral medial prefrontal cortex. Clinical, theoretical, and methodological issues are discussed.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.106
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0030.000
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0080.001

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 head0.052
GPT teacher head0.419
Teacher spread0.367 · 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; both teacher heads agree on what is shown here.

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

Citations4
Published2010
Admission routes1
Has abstractyes

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