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Record W4403172586 · doi:10.1037/xge0001667

Mental simulation of the approximal future: Imagining what might happen next.

2024· article· en· W4403172586 on OpenAlex
Vannia A. Puig, Ruthie Poizner, Katriel Read, Karl K. Szpunar

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 · 2024
Typearticle
Languageen
FieldComputer Science
TopicCognitive Science and Mapping
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsPsychologyCognitive psychologyCognitive sciencePsychoanalysis

Abstract

fetched live from OpenAlex

In the course of daily life, various events-such as driving in suboptimal weather conditions, going on a first date, or walking home alone at night-evoke cognitions about what might happen next in the context of ongoing experience. Nonetheless, little is currently known about the phenomenological experience of anticipating events that might occur next-or what we refer to as simulation of the approximal future. We present novel evidence from a retrospective survey, a diary study, and an experimental laboratory study indicating that people commonly experience simulations of the approximal future, and that simulations of the approximal future can be reliably distinguished, in terms of their valence and function, from simulations of future events that are expected to occur in spatiotemporal contexts that are distinct from ongoing experience. Simulation of the approximal future represents an understudied mental experience that carries important implications for understanding the nature of constructive perceptual and memory-based processes as they pertain to event cognition, threat detection, individual differences, and psychopathology. (PsycInfo Database Record (c) 2025 APA, all rights reserved).

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 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 score0.345
Threshold uncertainty score0.328

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0010.000
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 head0.036
GPT teacher head0.365
Teacher spread0.329 · 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