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Record W3195347273 · doi:10.1086/715655

Rethinking Collaboration: Medical Research and Working Relationships at the Iranian Pasteur Institute

2021· article· en· W3195347273 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIsis · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicHistory of Science and Medicine
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsContext (archaeology)PoliticsGovernment (linguistics)GeopoliticsSovereigntySociologyPolitical scienceSocial scienceLawHistory

Abstract

fetched live from OpenAlex

The Pasteur Institute of Iran underwent a major expansion of its research productivity and international recognition during some of the most significant events of modern Iranian history: the nationalization of the Iranian oil industry, followed by the Anglo-American coup against Prime Minister Mohammad Mosaddegh in 1953. During this period, the institute’s French director, Marcel Baltazard, was embedded in a complex set of working relationships with his Iranian employees, research subjects, and government ministers; American scientists and foreign aid workers; and French Pasteurians and diplomats. Baltazard constantly described these relationships as instances of “collaboration.” The temporal and geographical context demands a critical reading of scientific collaboration alongside the negative implications of political collaboration. Investigating the political commitments and social attitudes of the French director and Iranian staff, this essay demonstrates that scientific collaboration at the institute both reinforced socioeconomic inequalities within Iran and mirrored global Cold War geopolitics that undermined Iranian sovereignty.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.866
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.258
GPT teacher head0.339
Teacher spread0.080 · 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