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Record W1523388421

What does the 2010 U.S. Health Care Reform Mean for Securing Immigrant Health in North America

2012· article· en· W1523388421 on OpenAlexaboutno aff
Nielan Barnes

Bibliographic record

VenueFlorida International University Digital Commons (Florida International University) · 2012
Typearticle
Languageen
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsnot available
Fundersnot available
KeywordsImmigrationImmigration reformLatin AmericansPolitical scienceHealth careEconomic growthHuman rightsState (computer science)Immigration lawDevelopment economicsEconomicsLaw
DOInot available

Abstract

fetched live from OpenAlex

Long before NAFTA, North America relied heavily on temporary (migrant and immigrant) labor from the Global South. Since the failure of US immigration reform in 2005-2006, both the U.S. and Canada have increasingly expanded temporary labor programs to meet agricultural and low skilled worker needs; globally, the “permanently temporary” worker is an increasingly observable phenomena from North America to Dubai. Arguably, because migrants and immigrants are not citizens, the nation state is not responsible for meeting their legal, health and human service or advocacy needs. Yet in an increasingly globalized world, South-to-North labor mobility and immigration and migration patterns mean that a significant number of individuals from the global South (Africa, Latin America, most of Asia) live outside their home nation. This situation begs the question who is responsible for ensuring the labor, health and human rights of these global workers? The immigration, labor and health care regimes of the industrialized West uniquely determine access to jobs and health and human services for citizen throughout the world.

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)0.005
metaresearch head score (Gemma)0.009
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.900
Threshold uncertainty score0.198

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0070.006
Scholarly communication0.0080.005
Open science0.0010.003
Research integrity0.0070.005
Insufficient payload (model declined to judge)0.0100.001

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 head0.027
GPT teacher head0.300
Teacher spread0.273 · 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

Citations0
Published2012
Admission routes1
Has abstractyes

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