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Record W4392054623 · doi:10.51644/9780889205901-fm

Front Matter

2006· paratext· en· W4392054623 on OpenAlexfundaboutno aff

Bibliographic record

Venuenot available
Typeparatext
Languageen
FieldArts and Humanities
TopicFranz Kafka Literary Studies
Canadian institutionsnot available
FundersWilfrid Laurier University
KeywordsFront (military)GeologyOceanography

Abstract

fetched live from OpenAlex

The eight papers in this volume were originally presented at the centennial conference on Franz Kafka held at the University of Calgary in October 1983.As diverse in approach and methodology as these papers are, "the general drift of the volume is away from Germanistik towards 'state-of-the-art' methods."The opening articles by Charles Bernheimer and James Rolleston both deal with the similarities and contrasts between Kafka and Flaubert, with Bernheimer focusing on the "I" and the dilemma of narration in Kafka's early story, "Wedding Preparation in the Country," and Rolleston on the time-dimensions in Kafka's work that link him to the Romantics.

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.071
Threshold uncertainty score0.101

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0080.003
Open science0.0010.003
Research integrity0.0040.002
Insufficient payload (model declined to judge)0.9290.908

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 head0.018
GPT teacher head0.208
Teacher spread0.189 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

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
Published2006
Admission routes2
Has abstractyes

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Same topicFranz Kafka Literary StudiesFrench-language works237,207