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Record W2098733708 · doi:10.2190/ae18-ad1v-yf7l-ekbx

Rumination, Dysphoria, and Subjective Experience

2005· article· en· W2098733708 on OpenAlexaff
Jonathan Smallwood, Rory C. O’Connor, Derek Heim

Bibliographic record

VenueImagination Cognition and Personality · 2005
Typearticle
Languageen
FieldNeuroscience
TopicMind wandering and attention
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsRuminationDysphoriaPsychologyOperationalizationCognitive psychologyTask (project management)CognitionDevelopmental psychologyAnxiety

Abstract

fetched live from OpenAlex

An experiment is presented which investigated the relationship between rumination, dysphoria, and subjective experience during a short word-fragment completion task. Consistent with previous work off-task thinking, operationalized as task unrelated thought, was associated with dysphoria. By contrast, rumination was a significant predictor of task appraisal defined as task-related interference (TRI). While rumination did not directly contribute to the experience of task unrelated thinking (TUT), evidence was presented which suggests that when combined with a negative mood a ruminative style may amplify the association between this style of thinking and dysphoria. These findings suggest that we can distinguish between the phenomenological experience associated with rumination as distinct from dysphoria and this dissociation may be important in our ability to explain how self-focused attention contributes to enhanced psychological vulnerability.

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)0.001
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.034
GPT teacher head0.308
Teacher spread0.274 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations62
Published2005
Admission routes1
Has abstractyes

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