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Record W3136356262 · doi:10.15649/cuidarte.2008

Emigración de profesionales de enfermería en México

2021· article· es· W3136356262 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

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.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.683
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.003

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