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Record W2034119223 · doi:10.1080/02699930541000110

Enhanced accuracy of mental state decoding in dysphoric college students

2005· article· en· W2034119223 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

VenueCognition & Emotion · 2005
Typearticle
Languageen
FieldPsychology
TopicAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Canadian institutionsQueen's University
Fundersnot available
KeywordsPsychologyDysphoriaValence (chemistry)Theory of mindSocial anxietyCognitionAnxietySocial cognitionCognitive psychologyDevelopmental psychologyPsychiatry

Abstract

fetched live from OpenAlex

A significant clinical feature of depression involves difficulties in social functioning. At the foundation of these difficulties may lie alterations in “theory of mind” reasoning—the ability to decode others' mental states. Participants included 124 undergraduates who participated in a theory of mind task that involved attributing emotion states (e.g., happy, embarrassed) to photographs of eyes. Across two studies, dysphoria was significantly positively associated with greater accuracy on this task, suggesting an increased sensitivity to the subtle social cues required to make theory of mind judgements. This association held regardless of the emotional valence of the judgement. Furthermore, this finding was robust after controlling for reaction time and level of anxiety. These findings are discussed in terms of their implications for developing a model of social cognition in depression.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.917
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.035
GPT teacher head0.371
Teacher spread0.336 · 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