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Record W1967595389 · doi:10.2202/1948-4682.1121

The Soft Power of Solid Medicine

2010· article· en· W1967595389 on OpenAlex
Darrell W. Donahue, Stepen O Cunnion, Fred L Brocker, Richard Carmona

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

VenueWorld Medical & Health Policy · 2010
Typearticle
Languageen
FieldMedicine
TopicGlobal Health and Surgery
Canadian institutionsBrock University
Fundersnot available
KeywordsDiplomacySoft powerInternational ActionInternational communityAction (physics)State (computer science)Power (physics)Political sciencePublic healthPublic relationsPublic administrationEconomic growthLawMedicinePoliticsNursingComputer scienceEconomics

Abstract

fetched live from OpenAlex

Abstract Medical assistance undertakings have a long history of engendering positive international relations and fostering domestic stability. Interactions ranging from military medical civic action program (MEDCAP) missions to nongovernmental organization (NGO) efforts have demonstrated effectiveness, yet this capability is not routinely available in a meaningful way to the Secretary of State or the extended diplomatic community. MEDCAP and other global military presences can generate positive reactions, but can also be tainted by host nation suspicions of ulterior motives. In this paper, the authors posit that an organized, global public health presence would support international diplomacy while also establishing a worldwide surveillance capability for emerging communicable diseases.

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)0.003
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.814
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.018
GPT teacher head0.420
Teacher spread0.402 · 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