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Record W4378438320 · doi:10.1515/9780773592261

Bethune in Spain

2014· book· en· W4378438320 on OpenAlexaboutno aff
Roderick Stewart, Jesús Majada

Bibliographic record

VenueMcGill-Queen's University Press eBooks · 2014
Typebook
Languageen
FieldSocial Sciences
TopicHistorical and Linguistic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsGeography

Abstract

fetched live from OpenAlex

Norman Bethune (1890-1939) was a man who had everything, and yet had nothing. Although he had achieved international prominence as a surgeon, he was unhappy in his personal life and deeply frustrated by a failed attempt to introduce medicare to Canada. An uncompromising humanitarian in search of a cause, Bethune became immersed in the Spanish Civil War. In Bethune in Spain , Roderick Stewart and Jesús Majada recount Bethune's achievements in Spain and the events that led to his decision to assist the Loyalist forces. The narrative contains Bethune's letters and reports, some of them reproduced here for the first time, as well as newspaper articles, and interviews with him. It covers his creation and operation of a mobile blood transfusion unit, his rescue of fleeing Loyalist civilians during the Malaga-Almeria road tragedy, and his efforts to aid children orphaned by the War. It also deals with the gruelling public-speaking tour Bethune undertook on his return to Canada in 1937 to plead for intervention in support of democracy in Spain and to raise awareness of atrocities committed against civilians by the fascist-backed Spanish Nationalists. Illustrated with photographs from Bethune's seven months in Spain, Bethune in Spain is a poignant portrait of an early advocate for universal health care, an unwavering communist, and a crusader for the Spanish Republican cause.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.927
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.020
GPT teacher head0.235
Teacher spread0.215 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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

Citations1
Published2014
Admission routes1
Has abstractyes

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