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Push and Pull Factors in International Nurse Migration

2003· review· en· W1994217065 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Nursing Scholarship · 2003
Typereview
Languageen
FieldHealth Professions
TopicGlobal Health Workforce Issues
Canadian institutionsnot available
Fundersnot available
KeywordsEconomic shortageDeveloping countryDeveloped countryNursing shortageInvestment (military)NursingHuman migrationBusinessMedicineEconomic growthPolitical sciencePopulationEconomicsEnvironmental healthNurse educationGovernment (linguistics)

Abstract

fetched live from OpenAlex

PURPOSE: To describe the push and pull factors of migration in relation to international recruitment and migration of nurses. ORGANIZING CONSTRUCT: Review of literature on nurse migration, examination of effects of donor and receiving countries, and discussion of ethical concerns related to foreign nurse recruitment. FINDINGS: The primary donor countries are Australia, Canada, the Philippines, South Africa, and the United Kingdom (UK); the primary receiving countries are Australia, Canada, Ireland, the UK, and the United States (US). The effects of migration on donor countries include the loss of skilled personnel and economic investment; receiving countries receive skilled nurses to fill critical shortages with less economic investment. Ethical concerns include the potential for exploitation of foreign nurses. CONCLUSIONS: Nurses migrate to seek better wages and working conditions than they have in their native countries. Given the current conditions, developed countries continue to actively recruit foreign nurses to fill critical shortages. Migration is predicted to continue until developed countries address the underlying causes of nurse shortages and until developing countries address conditions that cause nurses to leave.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.955
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.004
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 head0.208
GPT teacher head0.549
Teacher spread0.341 · 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