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Record W2970552698 · doi:10.1093/jeea/jvz053

Political Identity: Experimental Evidence on Anti-Americanism in Pakistan

2019· article· en· W2970552698 on OpenAlex
Leonardo Bursztyn, Michael Callen, Bruno Ferman, Saad Gulzar, Ali Hasanain, Noam Yuchtman

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of the European Economic Association · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicCulture, Economy, and Development Studies
Canadian institutionsnot available
Fundersnot available
KeywordsGratitudeIdentity (music)Context (archaeology)PoliticsEconomicsPaymentGovernment (linguistics)Quarter (Canadian coin)WagePublic economicsSocial psychologyPositive economicsLaw and economicsPolitical sciencePsychologyLabour economicsLawFinance

Abstract

fetched live from OpenAlex

Abstract We identify Pakistani men’s willingness to pay to preserve their anti-American identity using two experiments imposing clearly specified financial costs on anti-American expression, with minimal consequential or social considerations. In two distinct studies, one-quarter to one-third of subjects forgo payments from the U.S. government worth around one-fifth of a day’s wage to avoid an identity-threatening choice: anonymously checking a box indicating gratitude toward the U.S. government. We find sensitivity to both payment size and anticipated social context: when subjects anticipate that rejection will be observable by others, rejection falls suggesting that, for some, social image can outweigh self-image.

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)0.002
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 score0.163
Threshold uncertainty score0.667

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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)0.0000.000

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 head0.028
GPT teacher head0.337
Teacher spread0.309 · 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