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Record W2038724864 · doi:10.2224/sbp.2013.41.7.1219

Effects of Social and Temporal Distance on Evaluation of Corporate Ambivalent Behavior

2013· article· en· W2038724864 on OpenAlexaff
Sunghun Chung, Jooyoung Park

Bibliographic record

VenueSocial Behavior and Personality An International Journal · 2013
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCustomer Service Quality and Loyalty
Canadian institutionsMcGill University
Fundersnot available
KeywordsConstrual level theoryAmbivalenceMoralityPsychologySocial psychologySocial distanceCompetence (human resources)Hofstede's cultural dimensions theoryEpistemology

Abstract

fetched live from OpenAlex

Based on construal level theory and subadditivity effect, in this study we examined the joint impacts of multiple dimensions of psychological distance (i.e., social and temporal distance) on consumer evaluations of a company in which the behavior was ambivalent in terms of morality or competence. The findings indicated that consumers perceiving the company as both socially and temporally close evaluated it more favorably when ambivalence concerned morality. However, when 1 or more dimensions of psychological distance extended, consumers tended to evaluate the company more favorably when the source of ambivalence concerned competence. These findings suggest that consumer evaluations of a company are influenced by not only which aspect of company behavior is ambivalent, but also by whether or not it is a single dimension or multiple dimensions of psychological distance being considered. Theoretical and practical implications are also discussed.

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)0.002
metaresearch head score (Gemma)0.011
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 score0.002
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.084
GPT teacher head0.345
Teacher spread0.261 · 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

Citations8
Published2013
Admission routes1
Has abstractyes

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