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Record W1989781775 · doi:10.1177/1527154408327289

The Impact of Global Inequities on Health Professional Migration

2008· article· en· W1989781775 on OpenAlex
Janet Hatcher Roberts

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

VenuePolicy Politics & Nursing Practice · 2008
Typearticle
Languageen
FieldHealth Professions
TopicGlobal Health Workforce Issues
Canadian institutionsCanadian Society for International Health
Fundersnot available
KeywordsTransparency (behavior)AccountabilityHealth carePublic healthSocial determinants of healthCivil societyEconomic growthHealthcare systemHealth policyGlobal healthInternational healthBusinessPolitical sciencePublic relationsMedicineNursingEconomics

Abstract

fetched live from OpenAlex

Health determinants and how they are distributed have an important impact on health systems around the world. Nurses can play a significant role in mediating the effects of many of these determinants both inside the health care system and outside. Yet the areas that have the greatest health inequities and heaviest disease burdens have the fewest health workers. A number of efforts are underway to understand and manage health care worker migration. Intersectoral collaboration is key, as are other factors necessary to build strong health systems, including research for development, capacity-building, integrated health systems, evidence-based decision-making, a strong and vibrant civil society and accountability and transparency in the public and private sectors.

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)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.583
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0040.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.097
GPT teacher head0.570
Teacher spread0.472 · 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