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Record W4318822849 · doi:10.1080/10848770.2023.2170027

Robert Walser: Uncanny Miniaturist On The Move <b>Clairvoyant of the Small: The Life of Robert Walser</b> , by Susan Bernofsky, New Haven, CT, Yale University Press, 2021, 382 pp., $35.00 (cloth) <b>Little Snow Landscape</b> , by Robert Walser, translated from the German by Tom Whalen, New York, New York Review Books, 2021, 208 pp., $15.95 (paper) <b>Walks with Walser</b> , by Carl Seelig, translated by Anne Posten, New York, New Directions, 2020, 144 pp., $15.95 (paper), $15.15 (Kindle)

2023· article· en· W4318822849 on OpenAlexaff
André Furlani

Bibliographic record

VenueThe European Legacy · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicLiterature and Cultural Memory
Canadian institutionsConcordia University
Fundersnot available
KeywordsUncannyPsychoanalysisArtPhilosophyPsychology

Abstract

fetched live from OpenAlex

Though Robert Musil declared Franz Kafka to be “a special case of the Walser type,” it is Robert Walser who still gets justified as a special case of the Kafka type. Kafka gave his confidante Max B...

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.029
Threshold uncertainty score0.098

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.003
Scholarly communication0.0060.007
Open science0.0010.002
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0290.019

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 head0.016
GPT teacher head0.193
Teacher spread0.177 · 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 designNot applicable
Domainnot available
GenreReview

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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