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Record W3204726595 · doi:10.3366/ink.2021.0112

How Dorothy L. Sayers Helped the Prime Minister of Canada Rally His Country before D-Day

2021· article· en· W3204726595 on OpenAlexaboutno aff
Robert Revington

Bibliographic record

VenueJournal of Inklings Studies · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsPrime ministerHouse of CommonsConversationNoticePoliticsNewspaperPrime timeHistoryLawMedia studiesClassicsPolitical scienceReligious studiesSociologyParliamentPhilosophy

Abstract

fetched live from OpenAlex

In May 1944, Dorothy L. Sayers exchanged letters and had a phone conversation with William Lyon Mackenzie King, the prime minister of Canada. Sayers's letter made such an impression on King that he saw mystical and prophetic significance in its arrival and used it in a speech he gave in the Canadian House of Commons. This study uses the digitised archives of King's diaries and the parliamentary records of his speech, as well as Canadian media accounts from the time. It will be shown that Sayers played an underappreciated role in helping the Canadian prime minister rally his country during the war, as the speech that used her letter met with acclaim across the political spectrum and received positive notice in Canadian newspapers. In the weeks leading up to D-Day, Sayers played an integral role in building up the morale of Canada's prime minister, as he endeavoured to inspire his country. Finally, King's diaries offer first-hand testimony of how one important contemporary figure reacted to the radio broadcasts of The Man Born to Be King, as he particularly enjoyed Sayers's portrayal of the masculinity of Jesus.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.516
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.013
GPT teacher head0.238
Teacher spread0.225 · 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
GenreEmpirical

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
Published2021
Admission routes1
Has abstractyes

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