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Record W3136356262 · doi:10.15649/cuidarte.2008

Emigración de profesionales de enfermería en México

2021· article· es· W3136356262 on OpenAlexaff
Higinio Fernández‐Sánchez, Claudia Beatriz Enríquez Hernández, María de los Ángeles Zapíen Vázquez, Aimée Giselle Horcasitas-Tovar

Bibliographic record

VenueRevista CUIDARTE · 2021
Typearticle
Languagees
FieldHealth Professions
TopicGlobal Health Workforce Issues
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

La creciente emigración de profesionales de enfermería en México podría colocar su sistema de salud en una crisis nacional. Actualmente, existen más de 272,000 migrantes a nivel global 1. Se estima que 11,800,000 son mexicanos, el 35% de ellos son profesionistas 2. México se ubica en sexto lugar de países que envían migrantes calificados y en primer lugar en la región de América Latina. Los principales países receptores son Estados Unidos (EE. UU.), Canadá, y España. En 2015, en Estados Unidos el número de mexicanos calificados rebasó las 250,000. De acuerdo con datos de la Organización Mundial de la Salud 3 hay más de 20,700,000 de profesionales de enfermería y partería en el mundo. No obstante, se calcula que para el 2030 nos enfrentaremos ante la escases de 18,000,000. Tan solo en Canadá este déficit podría llegar a los 60,000 enfermeros, mientras que en EE. UU esta cifra se triplica a los 240,000.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.184
Threshold uncertainty score0.365

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.036
GPT teacher head0.429
Teacher spread0.393 · 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 designObservational
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

Citations4
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueRevista CUIDARTESame topicGlobal Health Workforce IssuesFrench-language works237,207