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Record W7018259861

Cracking the Nazi code the untold story of Agent A12 and the solving of the Holocaust code

2024· other· en· W7018259861 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typeother
Languageen
FieldSocial Sciences
TopicIntelligence, Security, War Strategy
Canadian institutionsnot available
Fundersnot available
KeywordsNazismThe HolocaustPlot (graphics)Spanish Civil WarFace (sociological concept)Code (set theory)Nazi Germany
DOInot available

Abstract

fetched live from OpenAlex

"The thrilling true story of Canada's greatest spy, Agent A12. In public life, Nova Scotian Dr. Winthrop Bell was a wealthy businessman and Harvard philosophy professor. As MI6 Secret Agent A12, he dodged gunfire and shook pursuers to break open the emerging Nazi conspiracy in electrifying 1919 Berlin. Under cover as a Reuters reporter, he interviewed royalty, military informants, and intellectuals like Albert Einstein and Edith Stein. He followed clues to crack a deadly mystery and sounded the earliest warning of the Nazi plot for WWII. His reports went directly to the man known as C, the legendary founder of MI6, as well as to the prime ministers of Britain and Canada. But a powerful fascist politician quietly suppressed his alerts. Bell became a spy once again in the face of WWII. In 1939, he was the first to crack Hitler's deadliest secret code: the Holocaust. At that time the Führer was a popular politician who said he wanted peace. Could anyone believe Bell's shocking warning? Fighting an epic intelligence war from Ukraine, Russia, Poland and the Baltic to France, Germany, Canada and Washington, D.C., A12 was the real-life 007, waging a single-handed fight against madmen bent on destroying the world. Without Bell's astounding courage, the Nazis could have won the war. Cracking the Nazi Code is the first book to illuminate the exploits of Winthrop Bell, Agent A12"--

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.647
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.004
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.036
GPT teacher head0.323
Teacher spread0.287 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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