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Record W4323036550 · doi:10.1177/00031348231161769

Richard Nixon’s Left Knee and Its Impact on American History

2023· article· en· W4323036550 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

VenueThe American Surgeon · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicHistory, Medicine, and Leadership
Canadian institutionsToronto General Hospital
Fundersnot available
KeywordsCONTESTMedicinePresidential systemSurgeryGeneral surgeryHistoryLawPolitical sciencePolitics

Abstract

fetched live from OpenAlex

Richard Nixon injured his left knee in a limousine door while campaigning in North Carolina in 1960, resulting in septic arthritis that required a multi-day admission to Walter Reed Hospital. Still ill for the first presidential debate that fall, Nixon lost the contest based more on his appearance than his performance. Partly as a result of this debate, he was defeated by John F. Kennedy in the general election. Because of his leg wound, Nixon developed chronic DVTs in that limb, including a severe thrombus in 1974 that embolized to his lung, required surgery, and prevented him from testifying at the Watergate Trial. Episodes like this one highlight the value of studying the health of famous figures, where even the most minor injuries have the potential to influence world history.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.204
Threshold uncertainty score0.982

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.043
GPT teacher head0.320
Teacher spread0.277 · 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