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Record W2164471750 · doi:10.1086/421268

Globalization of Infectious Diseases: The Impact of Migration

2004· article· en· W2164471750 on OpenAlex
B. D. Gushulak, Douglas W. MacPherson

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

VenueClinical Infectious Diseases · 2004
Typearticle
Languageen
FieldMedicine
TopicTravel-related health issues
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicinePopulationPublic healthHealth carePsychological interventionEnvironmental healthCompetence (human resources)GlobalizationGeographic mobilityEconomic growthNursingPolitical science

Abstract

fetched live from OpenAlex

With up to 2% of the world's population living outside of their country of birth, the potential impact of population mobility on health and on use of health services of migrant host nations is increasing in its importance. The drivers of mobility, the process of the international movement, and the back-and-forth transitioning between differential risk environments has significance for the management of infectious diseases in migrant receiving areas. The management issues are broad, high-level, and cross-cutting, including policy decisions on managing the migration process for skilled-labor requirements, population demographic and biometric characteristics, and family reunification; to program issues encompassing health care professional education, training, and maintenance of competence; communication of global events of public health significance; development of management guidelines, particularly for nonendemic diseases; access to diagnostic and therapeutic interventions for exotic or rare clinical presentations; and monitoring of health service use and health outcomes in both the migrant and local populations.

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)0.000
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.552

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.032
GPT teacher head0.419
Teacher spread0.387 · 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