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Record W2187004012

Trust and Reciprocity: The Differing Norms of Individuals and Group Representatives

2004· article· en· W2187004012 on OpenAlexaff
Fei Song

Bibliographic record

VenueSSRN Electronic Journal · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicExperimental Behavioral Economics Studies
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsReciprocity (cultural anthropology)SalientSocial psychologyNorm of reciprocityPerceptionNorm (philosophy)Dictator gamePsychologyGroup decision-makingPolitical scienceSocial capital
DOInot available

Abstract

fetched live from OpenAlex

This paper presents evidence that trust and reciprocity behavior and perceptions is sensitive to whether people are making decisions solely on their own behalf or when they are given the responsibility to act on behalf of their groups. Employing the widely-used experimental framework of the trust game (Berg et al., 1995) with salient monetary payoffs, I examine and contrast the level of trust and reciprocity exhibited by individuals in inter-individual interactions with those exhibited by the same individual when he/she is responsible for a group decision. The results suggest that people trust less and reciprocate less when responsible for a group or organizational decision. I also explore perceptions about trust and reciprocity behavior of one's own and that of others in the study and find that there are disconnections between perspectives of parties involved about the interaction and the actual observed behavior. The evidence reported here, consistent with the idea that people are poor at making hypothetical predictions, highlights the disconnections between behavioral forecasts and behavior. Lastly, this paper also makes an important advance in our understanding of the norm of reciprocity. Theoretical and practical implications are offered.

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 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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.245
Threshold uncertainty score0.501

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 studies0.0010.001
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 head0.018
GPT teacher head0.312
Teacher spread0.294 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations3
Published2004
Admission routes1
Has abstractyes

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