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Record W1591985296

Truth and Lie in extremis: Holocaust Literature (Jakob the Liar, The Final Journey)

2011· article· en· W1591985296 on OpenAlexvenueno aff
David K. Danow

Bibliographic record

VenueCanadian review of comparative literature · 2011
Typearticle
Languageen
FieldArts and Humanities
TopicNarrative Theory and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsLiteratureContext (archaeology)AdventurePhilosophyRelevance (law)Literary fictionEpistemologyLiterary criticismHistoryArtLawArt history
DOInot available

Abstract

fetched live from OpenAlex

Fiction is a curious term. Among those who engage in the study of literature professionally it holds an elevated status as a literary form that bears a decided epistemological thrust — primarily in the direction of providing an enhanced understanding of human behavior and human relations. Within social institutions, the legal apparatus especially, the notion of fiction enjoys a less acclaimed status. In the world at large fiction is nearly synonymous with the concept of falsehood. Within fiction itself, as a form of imaginative writing, subordinate fictions are commonly incorporated within the greater fiction. These may be either true or false, depending upon the tale itself; that is, fictions or outright lies are told against a background of ostensible truth, there being of course certain details that are taken as truthful within the fictive context, if not in reality. The notion of fiction embedded within fiction, which plays a considerable part in this essay, may be understood in at least two ways. First, independent stories may be embedded within the greater story, as an adventure is related as either a digression (of great interest but little relevance, as in Diderot or Gogol) or as an integral part of the work as a whole (as in Fielding or Dostoevsky), where it serves an explanatory role. Second, what is told may be simply and entirely false. Fiction, after all, necessarily contains aberrations and disfigurations of the truth in the form of false leads or

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.928
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.099
GPT teacher head0.271
Teacher spread0.172 · 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
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
Published2011
Admission routes1
Has abstractyes

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