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Record W3128782834

Labor Migration in a Globalized World: The Human Journey's Challenges for International Law and Policy

2016· article· en· W3128782834 on OpenAlexaboutno aff
Julien Chaisse, Lloyd Meng

Bibliographic record

VenueeYLS (Yale Law School) · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsGlobalizationLabour lawPolitical scienceInternational lawEconomicsInternational tradeLawPolitical economy
DOInot available

Abstract

fetched live from OpenAlex

In this Article, Professor Julien Chaisse and Mr. Lloyd Meng cover the most recent developments in the field of international economic migration, including the latest WTO Ministerial Conference of December 2015 and the conclusion of the Trans-Pacific Partnership (TPP) in November 2015. The authors examine how international economic migration has developed over past years by critical analysis of frameworks found in the Preferential Trade Agreements of the United States, Canada, and Chile, with particular attention to market access and the standard of treatment afforded to temporary migrants. Recent European developments in the area of focused bilateral migration agreements are also discussed in the context of international economic migration. The authors conclude by analyzing the effect of the TPP, the practices it imposed, and the similarities and differences between those practices and the recent practices that have developed through the PTAs.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.015
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0130.039
Scholarly communication0.0150.011
Open science0.0010.009
Research integrity0.0070.007
Insufficient payload (model declined to judge)0.0070.001

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 head0.025
GPT teacher head0.331
Teacher spread0.306 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2016
Admission routes1
Has abstractyes

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