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CAN'T BUY ME LOVE? A FIELD EXPERIMENT EXPLORING THE TRADE‐OFF BETWEEN INCOME AND CASTE‐STATUS IN AN INDIAN MATRIMONIAL MARKET

2011· article· en· W3121693044 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

VenueEconomic Inquiry · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicNames, Identity, and Discrimination Research
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsCasteNewspaperIncentiveEconomicsDemographic economicsLabour economicsSociologyPolitical scienceLawMicroeconomics

Abstract

fetched live from OpenAlex

A large body of literature depicts that status‐based discrimination is pervasive, but is silent on how economic incentive interacts with such discrimination. This study addresses this question by designing a field experiment in a reputable arranged marriage market that is prone to strong caste‐status‐based discrimination. We place newspaper advertisements of potential grooms by systematically varying their caste and income and focus on responses of higher‐caste females to lower‐caste males. The substantive finding is that despite the evidence of discrimination, discriminatory behavior of higher‐status females decreases with an increase in the advertised monthly income of lower‐status males. ( JEL C93, J12, J15)

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.198
Threshold uncertainty score0.985

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.138
GPT teacher head0.361
Teacher spread0.222 · 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