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The Life and Mysterious Death of Poet and Intelligence Agent Stephen Haggard, 1911-1943

2024· book· en· W4414735779 on OpenAlexaboutno aff
Ross Davies

Bibliographic record

VenueLiverpool University Press eBooks · 2024
Typebook
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsMemoirBiographyNephew and nieceColonialismPoliticsPoetryAsideOfficerServant

Abstract

fetched live from OpenAlex

Actor, memoirist, novelist, playwright and poet, Stephen Haggard was a highly individual figure in the English literature and theatre of the 1930s and Second World War. Haggard was born in Guatemala City in 1911, the son of a British colonial officer – who was a nephew of H. Rider Haggard – and his French-Canadian wife. He died in mysterious circumstances in 1943 while serving with British Army Intelligence in the Middle East. This biography retraces Haggard’s brief yet vivid and crowded life and work. From a colonial childhood and education in England, the story moves on to prewar theatre studies in Munich, stardom on the London and New York stages and from there to service with the Army, the BBC, the Special Operations Executive and its rival Political Warfare Executive. The author shows that Haggard felt verse to be his vital outlet, artistic and emotional, although he did not seek publication until the outbreak of Hitler’s war. Wartime poems such "The Tear" and "Lotus" struck a chord with the many other young men and women who had to set aside civilian life, and Haggard's widow Morna collected the verse for publication with his memoir <italic>I’ll Go to Bed at Noon</italic> (1944). In this book, Ross Davies traces a fascinating life story that has been largely lost from view and makes a convincing case for Haggard's important contribution to the interwar literary and cultural scene.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.920
Threshold uncertainty score0.828

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.022
GPT teacher head0.208
Teacher spread0.186 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2024
Admission routes1
Has abstractyes

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