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Record W2898135439 · doi:10.1136/bmjgh-2018-000992

‘Socialising’ primary care? The Soviet Union, WHO and the 1978 Alma-Ata Conference

2018· review· en· W2898135439 on OpenAlexafffund
Anne‐Emanuelle Birn, Nikolai Krementsov

Bibliographic record

VenueBMJ Global Health · 2018
Typereview
Languageen
FieldMedicine
TopicHistorical Medical Research and Treatments
Canadian institutionsPublic Health OntarioUniversity of Toronto
FundersCanada Research Chairs
KeywordsPoliticsRedressContext (archaeology)IdeologyPolitical scienceHealth careEconomic JusticeSoviet unionPublic administrationSociologyLawHistory

Abstract

fetched live from OpenAlex

In September 1978, the WHO convened a momentous International Conference on Primary Health Care in Alma-Ata, capital of the Soviet republic of Kazakhstan. This unprecedented gathering signalled a break with WHO's long-standing technically oriented disease eradication campaigns. Instead, Alma-Ata emphasised a community-based, social justice-oriented approach to health. Existing historical accounts of the conference, largely based on WHO sources, have characterised it as a Soviet triumph. Such reasoning, embedded in Cold War logic, contradicts both the decision-making processes in Geneva and Moscow that led the conference to be held in the Union of Soviet Socialist Republics (USSR) and the reality that the highest Soviet authorities did not consider it a significant ideological or political opportunity. To redress the omissions and assumptions of prior accounts, this article examines the Alma-Ata conference in the context of Soviet political and health developments, drawing from Soviet archival and published sources as well as WHO materials and interviews with several key Soviet protagonists. We begin by outlining the USSR's complicated relationship to WHO and the international health sphere. Next, we trace the genesis of the proposal for-and realisation and repercussions of-the primary healthcare (PHC) meeting, framed by Soviet, Kazakh, WHO and Cold War politics. Finally, we explore misjudgements and competing meanings of PHC from both Soviet and WHO perspectives, in particular focusing on the role of physicians, community participation and socialist approaches to PHC.

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)0.010
metaresearch head score (Gemma)0.011
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.984
Threshold uncertainty score0.127

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0160.029
Scholarly communication0.0110.006
Open science0.0010.007
Research integrity0.0040.007
Insufficient payload (model declined to judge)0.0030.000

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 head0.107
GPT teacher head0.491
Teacher spread0.384 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations38
Published2018
Admission routes2
Has abstractyes

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