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Record W4388738806 · doi:10.14797/mdcvj.1283

In Flanders Fields: John McCrae as Physician, Poet, Soldier

2023· article· en· W4388738806 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueMethodist DeBakey Cardiovascular Journal · 2023
Typearticle
Languageen
FieldMedicine
TopicHistory of Medical Practice
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineBattleVictoryPoetryPopularityWhite (mutation)ClassicsLawLiteratureAncient historyHistoryPolitics

Abstract

fetched live from OpenAlex

John McCrae (1872-1918) was a Canadian physician, poet, and soldier who fought and died in the First World War. He penned perhaps his most memorable and lasting poem, "In Flanders Fields," shortly after the death of a comrade at the Second Battle of Ypres in 1915. The poem gained almost instant popularity, being used for recruiting efforts and victory bond sales throughout the remainder of the war, and solidified forever the symbol of the poppy as a memorial token for the service members who had perished. His death towards the end of the war, like that of so many others in the perilous years between 1914 and 1918, cut short the trajectory of what had already amounted to a brilliant career. As a close friend of such titans of medicine as William Osler and Harvey Cushing, as well as acquainted with the likes of Rudyard Kipling, it is not difficult to imagine the impact that his passing had upon the future of medicine and literature.

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)0.008
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.519
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.038
GPT teacher head0.336
Teacher spread0.298 · 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