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Record W2069519959 · doi:10.1177/1527154408329312

Building Global Alliances in a World of Health Care Inequities

2008· article· en· W2069519959 on OpenAlexaboutno aff
Stephen Lewis

Bibliographic record

VenuePolicy Politics & Nursing Practice · 2008
Typearticle
Languageen
FieldMedicine
TopicGlobal Maternal and Child Health
Canadian institutionsnot available
Fundersnot available
KeywordsPovertyFamineFace (sociological concept)Economic growthPandemicDeveloping countryPolitical scienceEconomic shortageNursingHealth careDevelopment economicsMedicineBusinessPublic relationsCoronavirus disease 2019 (COVID-19)SociologyEconomicsGovernment (linguistics)

Abstract

fetched live from OpenAlex

Nurses are at the heart of any effective response to the ongoing HIV/AIDS pandemic in Africa and internationally. Without nurses, we will be unable to provide treatment for the growing numbers of people with HIV/AIDS and victims of violence, famine, and poverty. As countries such as the United States and Canada face nursing shortages, they are looking elsewhere to find nurses. But poaching nurses from other countries, especially those from countries that are struggling for survival, is reprehensible and immoral. If we put our resources in the appropriate places, we can sustain the professional disciplines in the country where they are trained. We need to take an advocacy stance to demand rational policies that will support sustainable health systems.

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)0.017
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.088

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.015
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0110.018
Scholarly communication0.0130.019
Open science0.0010.026
Research integrity0.0060.008
Insufficient payload (model declined to judge)0.0170.001

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 head0.050
GPT teacher head0.438
Teacher spread0.388 · 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 designTheoretical or conceptual
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
Published2008
Admission routes1
Has abstractyes

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