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Record W2165235004 · doi:10.1177/1470594x14544286

Wage competition and the special-obligations challenge to more open borders

2014· article· en· W2165235004 on OpenAlex
Arash Abizadeh, Manish Pandey, Sohrab Abizadeh

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenuePolitics Philosophy & Economics · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsCarleton UniversityUniversity of WinnipegMcGill University
FundersUniversity of CambridgeMcGill University
KeywordsImmigrationArgument (complex analysis)DisadvantagedNormativeCompetition (biology)PremisePolitical scienceEconomic JusticePolitical economyWageEconomicsDevelopment economicsLabour economicsLaw and economicsLaw

Abstract

fetched live from OpenAlex

According to the special-obligations challenge to the justice argument for more open borders, immigration restrictions to wealthier polities are justified because of special obligations owed to disadvantaged compatriots negatively impacted by the immigration of low-skilled foreign workers. We refute the special-obligations challenge by refuting its empirical premise and draw out the normative implications of the empirical evidence for border policies. We show that immigration to wealthier polities has negligible impact on domestic wages and that only previous cohorts of immigrants are adversely affected. The special-obligations challenge therefore succeeds only if special obligations owed to previous immigrants justify closing borders to further immigration; we argue that they do not.

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.839
Threshold uncertainty score0.607

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 studies0.0010.000
Scholarly communication0.0000.000
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 head0.027
GPT teacher head0.303
Teacher spread0.277 · 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