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El filantrocapitalismo de los EUA y la agenda mundial de salud: las Fundaciones Rockefeller y Gates, pasado y presente

2018· article· es· W2883571166 on OpenAlexaff
Anne‐Emanuelle Birn, Judith Richter

Bibliographic record

VenueSocial medicine · 2018
Typearticle
Languagees
FieldMedicine
TopicBiotechnology and Related Fields
Canadian institutionsUniversity of Toronto
FundersBill and Melinda Gates Foundation
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Un hombre de negocios estadounidense, ferozmente competitivo y enormemente exitoso vuelve su atención a mitad de su carrera hacia la salud pública mundial. ¿Curiosidad histórica o el actor contemporáneo más poderoso en este campo? Ambas. A principios del siglo XX, la Fundación Rockefeller (RF; Rockefeller Foundation) comenzó a utilizar las colosales ganancias petroleras de John D. Rockefeller para apostar por un papel preeminente en la salud internacional (así como en medicina, educación, ciencias sociales, agricultura y ciencias naturales). Cerca de un siglo después, la Fundación Bill y Melinda Gates (BMGF; Bill and Melinda Foundation), nombrada así por el magnate del software y su esposa, se ha vuelto en la que establece la agenda más influyente en la arena de la salud y la nutrición mundiales (así como en agricultura, desarrollo y educación).

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)0.007
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation 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: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.993
Threshold uncertainty score0.088

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.014
Scholarly communication0.0120.007
Open science0.0010.006
Research integrity0.0070.007
Insufficient payload (model declined to judge)0.0070.001

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 head0.018
GPT teacher head0.330
Teacher spread0.312 · 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.

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

Citations3
Published2018
Admission routes1
Has abstractyes

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