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Record W3157311648 · doi:10.1177/1527002521995870

Are Foreigners at Disadvantage in a Global Labor Market?

2021· article· en· W3157311648 on OpenAlex
David Pastoriza, Jean‐François Plante, Nadjib Lakhlef

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 Sports Economics · 2021
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicSports Analytics and Performance
Canadian institutionsHEC Montréal
Fundersnot available
KeywordsDisadvantageEliteLicenseAdvertisingLabour economicsMarketingBusinessAffect (linguistics)Demographic economicsEconomicsSociologyPolitical scienceLaw

Abstract

fetched live from OpenAlex

We find evidence that being a foreigner decreases the chances of surviving (i.e., keeping the license) on the first season on the PGA TOUR. This phenomenon does not affect all foreigners equally—it is present amongst the non-elite group (those playing the second-tier tour), but we found no evidence amongst the elite group (those playing the first-tier tour). We discover that the international experience acquired by foreigners in other circuits prior to their arrival on the PGA TOUR mitigates this disadvantage. Not keeping the card has hazardous financial consequences for both the golfer and the corporations whose products he endorses.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.109
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.014
GPT teacher head0.215
Teacher spread0.201 · 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