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Record W2889869758 · doi:10.17058/agora.v20i2.12366

Filantropo-capitalismo estadunidense e a agenda da saúde global: as fundações Rockefeller e Gates, passado e presente

2018· article· pt· W2889869758 on OpenAlexaff
Anne Emanuelle Birn, Judith Richter

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2018
Typearticle
Languagept
FieldSocial Sciences
TopicPublic Health in Brazil
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPolitical scienceHumanitiesSociologyPhilosophy

Abstract

fetched live from OpenAlex

A Saúde Global, na contemporaneidade, é fortemente marcada por questões econômicas e geopolíticas que, frequentemente, colocam à prova os principais objetivos das Instituições responsáveis pela sua manutenção e manejo. De certo modo, tais questões sempre foram vistas de modo articulado, dada a história das agências responsáveis pela saúde em nível internacional. Assim, duas importantes Fundações – Rockefeller e Bill e Melinda Gates – tiveram/tem importante participação no redirecionamento das ações em Saúde e, principalmente, no que se refere às lógicas de investimento em saúde ligadas à filantropia. Partindo disto, neste texto, a partir de revisão bibliográfica e documental, são discutidas as participações das Fundações em diferentes momentos históricos e as questões emergentes daquilo que chamamos de filantropo-capitalismo. Neste sentido, problematizamos os meios pelos quais tais Fundações interferem na lógica da gestão pública e/ou privada da Saúde Global com o objetivo de alertar sobre a necessidade de atenção acerca das atuais ações e campanhas de saúde financiadas pelo setor privado. Destaca-se, principalmente a quantidade de investidas na indústria farmacêutica em detrimento da melhoria da qualidade de vida e do cumprimento dos direitos humanos fundamentais.

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)0.003
metaresearch head score (Gemma)0.003
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.995
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0050.014
Scholarly communication0.0110.008
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.374
GPT teacher head0.615
Teacher spread0.242 · 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 designQualitative
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

Citations0
Published2018
Admission routes1
Has abstractyes

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