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Record W2327829656 · doi:10.1037/a0032233

Moving away from a bad past and toward a good future: Feelings influence the metaphorical understanding of time.

2013· article· en· W2327829656 on OpenAlex
Albert Lee, Li‐Jun Ji

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

VenueJournal of Experimental Psychology General · 2013
Typearticle
Languageen
FieldPsychology
TopicPsychological and Temporal Perspectives Research
Canadian institutionsQueen's University
Fundersnot available
KeywordsFeelingPerspective (graphical)PsychologyRuminationId, ego and super-egoCognitive psychologyMoodEvent (particle physics)Social psychologyValence (chemistry)CognitionComputer science

Abstract

fetched live from OpenAlex

People move close to things they like and away from things they dislike. Can the same be applied to temporal events? Through alternating between the ego-moving and time-moving metaphorical perspectives of time, people can manage the psychological distance between themselves and various temporal events by staying away from unpleasant experiences and bringing pleasant ones within reach. Consistent with theoretical predictions, 4 studies showed that recalling an unpleasant event from the past prompted the ego-moving perspective, whereas recalling a pleasant past event prompted the time-moving perspective. In contrast, anticipating a pleasant future invoked the ego-moving perspective, whereas anticipating an unpleasant future invoked the time-moving perspective. The valence of feelings explained the systematic shifts in how time is metaphorically understood. These findings highlight the role of basic psychological processes in temporal reasoning. Clinical implications for rumination and mood disorders 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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.899
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.063
GPT teacher head0.378
Teacher spread0.315 · 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