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Record W3153759747 · doi:10.1080/20445911.2021.1912051

Picturing yourself: a social-cognitive process model to integrate third-person imagery effects

2021· article· en· W3153759747 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

VenueJournal of Cognitive Psychology · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicMedia Influence and Health
Canadian institutionsUniversity of Waterloo
FundersNational Science Foundation
KeywordsPsychologyCognitive psychologyProcess (computing)CognitionMental imageCognitive scienceNeuroscienceComputer science

Abstract

fetched live from OpenAlex

People have a fascinating capacity to picture their actions from an external vantage point. Much of the research on this third-person imagery has focused on the specific effects it has on cognition due to the elements of episodic experience that it lacks relative to first-person imagery. Other research focuses on the information that the third-person provides that first-person imagery lacks. We propose a more systematic approach that conceptualises how third-person imagery’s various effects interrelate due to a common underlying social-cognitive function. Specifically, we outline an integrative model proposing that third-person and first-person imagery cause people to adopt qualitatively distinct processing styles. This model explains many of the diverse effects that have been documented in the literature and helps reconcile seemingly discrepant findings. We conclude with recommendations for strategies to more systematically investigate the functions of visual perspective in mental imagery to build more comprehensive understanding of this phenomenological variable.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.118
Threshold uncertainty score0.814

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.090
GPT teacher head0.391
Teacher spread0.300 · 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