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Record W4404591639 · doi:10.1037/pspa0000404

The zero-sum mindset.

2024· article· en· W4404591639 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 Personality and Social Psychology · 2024
Typearticle
Languageen
FieldComputer Science
TopicIntelligent Tutoring Systems and Adaptive Learning
Canadian institutionsUniversity of British Columbia
FundersEconomic and Social Research CouncilGates Cambridge Trust
KeywordsMindsetPsychologyZero (linguistics)Social psychologyEpistemology

Abstract

fetched live from OpenAlex

. In an investigation spanning six countries (Belgium, India, Italy, Pakistan, the United Kingdom, and United States) on three continents, and more than 10,000 unique participants, we use cross-sectional, longitudinal, and experimental methods to provide foundational evidence for the zero-sum mindset. In Studies 1-5 (Concept), we show that the zero-sum mindset is distinct from existing concepts, stable over time, and predictive of disparate instances of zero-sum thinking and its strategic implications across domains and cultures. In Studies 6-7 (Cognitions), we show that zero-sum configurations of success promote hostile interpretations of others and that the zero-sum mindset predicts this bias even in objectively non-zero-sum situations. In Studies 8-9 (Consequences), we show that the zero-sum mindset predicts lower cooperation even in situations where cooperation is a matter of life or death. These findings call attention to the way lay game theories such as the zero-sum mindset bear critical implications for the cognitions and attitudes that drive social behavior and success. (PsycInfo Database Record (c) 2024 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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.961
Threshold uncertainty score0.243

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.000
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 head0.049
GPT teacher head0.351
Teacher spread0.301 · 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