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Record W3125854747

Do Wealth Differences Affect Fairness Considerations

2006· preprint· en· W3125854747 on OpenAlexaff
Olivier Armantier

Bibliographic record

VenueRePEc: Research Papers in Economics · 2006
Typepreprint
Languageen
FieldSocial Sciences
TopicExperimental Behavioral Economics Studies
Canadian institutionsCenter for Interuniversity Research and Analysis on OrganizationsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesPsychologySocial psychologySociologyWelfare economicsEconomicsPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

L'influence de la richesse relative sur les préoccupations d'équité est analysée dans un jeu de l'ultimatum dans lequel les participants reçoivent d'importantes dotations initiales largement inégales. Au départ, les sujets démontrent un soucis d'équité. Cependant, avec le temps, leur comportement s'éloigne de la perfection en sous-jeux ainsi que de l'équité. L'estimation d'un modèle structurel d'apprentissage par renforcement montre des signes d'apprentissage autant chez les sujets qui proposent que chez les receveurs. Les résultats de l'estimation suggèrent que, lorsque guidés par les meilleures réponses possibles et par un sens acquis de ce qui leur est dû, les sujets riches deviennent plus égoïstes, alors que les sujets pauvres, influencés uniquement par leur expérience personnelle, apprennent à tolérer ce comportement.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.360
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
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 head0.092
GPT teacher head0.413
Teacher spread0.321 · 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.

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

Citations2
Published2006
Admission routes1
Has abstractyes

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