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Record W7118933155 · doi:10.1080/00085006.2025.2584882

The creative destruction of dialogue: Zen koans and Socratic <i>elenchus</i> in Viktor Pelevin’s <i>Buddha’s Little Finger</i>

2025· article· en· W7118933155 on OpenAlexvenueno aff
Natalya Sukhonos

Bibliographic record

VenueCanadian Slavonic Papers · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicVladimir Nabokov Literary Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAction (physics)Socratic methodCreative destruction

Abstract

fetched live from OpenAlex

In Viktor Pelevin’s Buddha’s Little Finger (also known as The Clay Machine-Gun and Chapaev and the Void), the riddle emerges as a concise narrative that bridges Western and Eastern philosophies and catalyzes illumination. Because different kinds of riddles – Zen koans and Socratic elenchus – enable direct interaction, they allow the protagonist, Peter (Pyotr) Voyd, to confront his identity through creative destruction. The riddles reveal stable identity to be insubstantial and show Voyd the limitations of his reasoning, as well as the limits of reason per se. To see himself more clearly, the protagonist needs to step outside himself through dialogue; to see himself as the Void, he needs to see the self as a riddle, the answer to which can be grasped in a moment of insight. In addition to exploring the dialogic potential of riddles, the article argues that Buddhist philosophy provides a necessary additional explanation for a phenomenon that critics would relegate to postmodern play with identity or causation. In illuminating the self as insubstantial, Zen riddles (koans) provide a way for the characters to achieve freedom bound with compassion.

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)0.002
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.040
Scholarly communication0.0090.004
Open science0.0010.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0010.000

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 head0.007
GPT teacher head0.248
Teacher spread0.242 · 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
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
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Slavonic PapersSame topicVladimir Nabokov Literary StudiesFrench-language works237,207