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Record W2091714153 · doi:10.2105/ajph.2005.064733

THE WORLD BANK: GLOBAL HEALTH OR GLOBAL HARM?

2005· letter· en· W2091714153 on OpenAlexaff
Anne‐Emanuelle Birn, Klaudia Dmitrienko

Bibliographic record

VenueAmerican Journal of Public Health · 2005
Typeletter
Languageen
FieldEconomics, Econometrics and Finance
TopicHIV/AIDS Impact and Responses
Canadian institutionsPublic Health Ontario
Fundersnot available
KeywordsHarmGlobal healthEnvironmental healthMedicinePublic healthPolitical sciencePathologyLaw

Abstract

fetched live from OpenAlex

In recent years the World Bank has become “the world’s largest external funder of health.”1(p61) According to Ruger, this situation reflects the Bank’s increased sensitivity to poverty and its growing sophistication—beginning under the leadership of US Secretary of Defense turned World Bank President (1968–1981) Robert McNamara—about development theory and practice. Such an uncritical portrayal befits the World Bank’s own Web site (a major source for Ruger’s article), but Journal readers should expect more. Missing from this officialist version are discussions of the Bank’s undemocratic governance and decisionmaking structures; the untoward human effects of longstanding World Bank pro-privatization policies and practices, most notably structural adjustment programs (which have denuded the social welfare infrastructure of developing countries in areas such as housing, education, health services, subsidies, and family transfers); and the impact on health of the Bank’s newfound focus on the health sector. Ruger repeats the insider’s lament that lending policies were perennially subject to the exigencies of Wall Street bondholders, but she overlooks the far larger question of the nature and distribution of power at the World Bank. With votes directly related to shareholding size, World Bank decision-making is profoundly undemocratic, favoring elite interests within wealthy nations (the United States alone commands 16.4% of votes within the Bank). Any account of the Bank’s evolution ought to consider the impact of this governance structure on the roles and activities that the Bank adopts. According to both internal and external observers, the neoliberal policies advocated by the Bank and its sister institutions beginning in the 1980s have provoked or worsened dire economic conditions—and the attendant health effects, such as increased rates of malaria, HIV/AIDS, and tuberculosis—in much of the developing world.2–5 This “role of the World Bank in global health” remains unaddressed by Ruger. Indeed, the negative impact of structural adjustment programs on health conditions in developing countries helped spur the Bank’s focus on health in the late 1980s.6 With its double-entendre title, the Bank’s influential 1993 report Investing in Health hailed the importance of health to development while advocating the privatization of health services.7 But the Bank’s approach to health sector lending has exacerbated poor health outcomes by reducing access to health services for those unable to pay for care in newly privatized systems, which focus on cost recovery.8,9 Recent targeted programs aimed at the poorest ignore structural deficiencies in social services. In sum, Ruger portrays the Bank’s increasing involvement in the health sector as un-problematic. Critics are dismissed as a handful of cranks rather than as serious academic and policy researchers.10–12 The author’s reliance on official Web sites and published histories rather than internal memos, archives, and interviews, to which a former speech-writer for the World Bank president might have sought access, is disappointing. In failing to convert the price tags of projects into inflation-adjusted dollars—a surprising oversight for a health economist—Ruger underestimates the impact of past World Bank activities. Overall, this one-sided article fails to elucidate the powerful political and economic forces motivating World Bank policies and activities and does not provide the carefully researched historical analysis we have come to expect from “Public Health Then and Now” articles.

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)0.021
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.043
Threshold uncertainty score0.145

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.021
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.005
Science and technology studies0.0030.012
Scholarly communication0.0140.017
Open science0.0020.007
Research integrity0.0100.011
Insufficient payload (model declined to judge)0.0430.013

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 head0.068
GPT teacher head0.347
Teacher spread0.279 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations23
Published2005
Admission routes1
Has abstractyes

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