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Record W7058434223

My Adventures, A German Spy in Britain

2023· article· en· W7058434223 on OpenAlexaboutno aff

Bibliographic record

VenueVědecká knihovna v Olomouci (Research Library in Olomouc) · 2023
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsGermanNewspaperQuarter (Canadian coin)World War IINatural (archaeology)Spanish Civil WarParadise
DOInot available

Abstract

fetched live from OpenAlex

Set during the First World War, ‘My Adventures, A German Spy in Britain’ is a collection of short stories narrated by secret agent, Heine. While he might have been sent to London by German Intelligence, intelligence is not his strong point. Armed with a Chilean passport and posing as a reporter for the Chinese New Bureau, the hapless Heine sets about uncovering any secrets he can. However, his natural cowardice and penchant for missing the obvious make his task much harder than necessary. A light-hearted and fun read for fans of the ‘Smithy’ series. Born in London, Edgar Wallace (1875 1932) was an English writer so prolific that his publisher claimed that he was responsible for a quarter of all books sold in England. Leaving school at the age of 12, Wallace made his first steps into the literary world by selling newspapers on the corner of Fleet Street. He worked as a war correspondent after joining the army at age 21, which honed his writing abilities. This led to the creation of his first book ‘The Four Just Men.’ Wallace is best remembered as the co-creator of ‘King Kong,’ which has been adapted for film 12 times (most notably directed by ‘Lord of the Rings’ director, Peter Jackson, and starring Jack Black and Naomi Watts). However, he leaves behind an extensive body of work, including stories such as ‘The Crimson Circle’ and ‘The Flying Squad’.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.312
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.006
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.002
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.1600.003

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 head0.035
GPT teacher head0.359
Teacher spread0.323 · 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; both teacher heads agree on what is shown here.

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
Published2023
Admission routes1
Has abstractyes

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