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Record W4384126811 · doi:10.1037/pspi0000427

In it together: Shared reality with instrumental others is linked to goal success.

2023· article· en· W4384126811 on OpenAlexafffund
Abdo Elnakouri, Maya Rossignac‐Milon, Kori Krueger, Amanda L. Forest, E. Tory Higgins, Abigail A. Scholer

Bibliographic record

VenueJournal of Personality and Social Psychology · 2023
Typearticle
Languageen
FieldComputer Science
TopicAI in Service Interactions
Canadian institutionsUniversity of Waterloo
FundersSocial Sciences and Humanities Research Council of CanadaUniversity of Pittsburgh
KeywordsNoticePsychologySocial psychologyGoal pursuitInternet privacyCognitive psychologyApplied psychologyComputer science

Abstract

fetched live from OpenAlex

= 1,326) explored (a) whether people experience shared reality-the perception of shared attitudes and judgments about the world-with IOs and (b) whether those who do so achieve greater goal success. Participants perceiving their romantic partner as instrumental for their goals experienced more shared reality with them (Study 1); participants also reported greater shared reality with IOs relative to noninstrumental others (NIO; Study 2). Higher shared reality with IOs was linked to more goal success initially, (Studies 2-4), 3-4 weeks later (Study 2c), and higher grade point averages (Study 4). These effects held when controlling for IO liking, closeness, epistemic trust, and NIO shared reality. Self-efficacy consistently mediated the effect of IO shared reality on goal success, indicating that IO shared reality may bolster people's epistemic confidence in their abilities. Overall, findings suggest that shared reality with IOs may play an important role in goal success. (PsycInfo Database Record (c) 2023 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.

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)0.006
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 score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.065
GPT teacher head0.390
Teacher spread0.326 · 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

Citations13
Published2023
Admission routes2
Has abstractyes

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