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Record W2486994354 · doi:10.1057/9781137311344_18

‘A tongue in every wound of Caesar’: Performing Julius Caesar behind Barbed Wire during the Second World War

2013· book-chapter· en· W2486994354 on OpenAlexaboutno aff
Ton Hoenselaars

Bibliographic record

VenuePalgrave Macmillan UK eBooks · 2013
Typebook-chapter
Languageen
FieldSocial Sciences
TopicWorld Wars: History, Literature, and Impact
Canadian institutionsnot available
Fundersnot available
KeywordsAllusionIdentity (music)PrisonHistoryPerformance artWorld War IIArtClassicsLiteratureArt historyAestheticsArchaeology

Abstract

fetched live from OpenAlex

In a moving short story entitled ‘Internee Julius Caesar’, the Austrian journalist Carl Weiselberger writes about the impact of internment on detainees held in a Canadian prison camp during the Second World War. To counter the monotony of camp life — which includes the choice between attending yet another lecture about the history of the homing pigeon in the recreation lounge, or the use of the compress in natural healing in the dining room — the internees decide to play a theatrical guessing game which, with a veiled allusion to Franz Kafka, they call ‘Changing Identities’ ( Sichverwandeln ). 1 Two internees leave the room, while the rest assign well-known personae to them; on their return, each of the two internees is secretly told about the other’s identity, and the point of the exercise is that each has to try to uncover their own identity by interrogating the other, who also drops hints. The story recounts how the men, once they have all had their turn, draw into the game the inconspicuous and reluctant New Age internee No. 801, a man who believes in metempsychosis and is convinced that in an earlier life he was both a priest of the Astarte cult, and Julius Caesar. The men have deliberately decided to make No. 801 guess that he is indeed Julius Caesar. After several mistaken attempts — the Roman greeting of the raised arm, provided as a hint, does not mean that he is Mussolini — internee No. 801 finally guesses that he must be Julius Caesar. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0200.009
Scholarly communication0.0050.003
Open science0.0010.007
Research integrity0.0030.009
Insufficient payload (model declined to judge)0.0070.003

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 head0.013
GPT teacher head0.236
Teacher spread0.223 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2013
Admission routes1
Has abstractyes

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