MétaCan
Menu
Back to cohort
Record W4286216491 · doi:10.31234/osf.io/w69nd

Prospective Cognition and its Links with Memory

2022· preprint· en· W4286216491 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

Venuenot available
Typepreprint
Languageen
FieldPsychology
TopicCognitive Functions and Memory
Canadian institutionsBaycrest HospitalUniversity of Toronto
FundersUniversity of OxfordUniversity of Cambridge
KeywordsProspectionProspective memoryEpisodic memoryCognitionRetrospective memoryPerspective (graphical)Cognitive psychologySemantic memoryPsychologyCognitive scienceChronesthesiaAutobiographical memoryComputer scienceArtificial intelligenceExplicit memorySocial psychologyNeuroscience

Abstract

fetched live from OpenAlex

The past decade has seen a reconceptualization of explicit memory that closely links it with prospective cognition. This chapter provides a brief historical perspective on prospection within memory research, an overview of the major modes of prospective cognition, and a comprehensive review of research examining episodic and semantic contributions to future-oriented thinking. We consider taxonomic issues in this emerging subfield, as well as the factors that appear to modulate the degree to which episodic and/or semantic memory are involved in prospection, including contextual specificity and psychological distance, while emphasizing the notion that most prospective thoughts are hybrid representations comprising episodic details and multiple types of semantic knowledge.

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 categoriesInsufficient 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: none
Teacher disagreement score0.694
Threshold uncertainty score0.973

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0280.000

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 head0.030
GPT teacher head0.306
Teacher spread0.276 · 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

Quick stats

Citations3
Published2022
Admission routes1
Has abstractyes

Explore more

Same topicCognitive Functions and MemoryFrench-language works237,207