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Record W1974415705 · doi:10.1080/17487870.2010.523968

Equality through exposure to imports? International trade and the racial wage gap

2010· article· en· W1974415705 on OpenAlex
Azim Essaji, Gregory Sweeney, Alexandros Kotsopoulos

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

VenueJournal of Economic Policy Reform · 2010
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicLabor market dynamics and wage inequality
Canadian institutionsPricewaterhouseCoopers (Canada)Wilfrid Laurier University
FundersUniversity of California, Davis
KeywordsWageCompetition (biology)DisadvantagedEconomicsLow wageLabour economicsWage inequalityProduct marketProduct (mathematics)Demographic economicsEconomic growthMarket economy

Abstract

fetched live from OpenAlex

A key implication of Becker’s (1957) work on discrimination is that greater product market competition can reduce employment discrimination generally, and discriminatory wage gaps in particular. Using US data on manufacturing wages and import exposure, we explore whether increased competition, in the form of a heightened exposure to imports, reduces the racial wage gap. Our findings support Becker’s contention. We find that import exposure helped narrow the racial wage gap by about 1.4 percentage points between 1983 and 1993. The effect is especially pronounced among the most disadvantaged: unskilled Southern workers. For them, import exposure helped reduce racial wage disparities by 2.2 percentage points.

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)0.003
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 score0.256
Threshold uncertainty score0.470

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 studies0.0000.000
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 head0.030
GPT teacher head0.291
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