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Record W2071230419 · doi:10.1080/01611190600921165

Zimmermann Telegram: The Original Draft

2007· article· en· W2071230419 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.

fundA Canadian funder is recorded on the work.
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

VenueCryptologia · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicIntelligence, Security, War Strategy
Canadian institutionsnot available
FundersUniversität PaderbornUniversity of Toronto
KeywordsGermanComputer scienceReading (process)Library sciencePublicationHistoryOperations researchLawPolitical scienceEngineering

Abstract

fetched live from OpenAlex

Abstract This article presents the original draft of the Zimmermann telegram from 1917 in facsimile. Its various annotations provide interesting insights, such as the idea to promise California to Japan and instructions concerning transmission and encryption. Further documents clarify how the telegram was sent and put various alternatives suggested in the literature to rest. The political background and fallout in Germany are discussed, as well. Keywords: codebookcryptanalysisFirst World WarRoom 40Zimmermann telegram Acknowledgments The author is grateful for kind permission by the German foreign office to publish the draft telegrams, and to Maria Keipert for her help with obtaining important material from its archive and for correcting several errors. Many thanks for help with transcribing the text, identifying the initiallers, and interpreting the sequence of the initials go to Bernd Mütter and Klaus Saul. Peter Freeman kindly sent me his manuscript, the British 13040 codebook, and interesting insights into German cryptographic procedures. I enjoyed interesting discussions with Joachim von zur Gathen, my father. Jamshid Shokrollahi helped with the photographs, and Claudia Jakob and Martina Kuhnert worked tirelessly on procuring documents and typesetting the text. Reinhard Doerries provided helpful comments. Very special thanks go to David Kahn for encouragement, careful reading, and many useful suggestions, in particular bringing me together with Peter Freeman, who was simultaneously writing his article, and Thomas Boghardt.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.924
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.034
GPT teacher head0.365
Teacher spread0.330 · 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