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Record W4391817478 · doi:10.1111/russ.12622

The Pushkin Project: Russia’s Favorite Writer, Modern Evolutionary Thought, and Teaching Inner‐City Youth by DavidBethea. Boston: Academic Studies Press, 2003, 206 pp. $24.95. ISBN 979‐8‐8871‐9202‐4

2024· article· en· W4391817478 on OpenAlexaff
Lyudmila Parts

Bibliographic record

VenueThe Russian Review · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicFolklore, Mythology, and Literature Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsHistoryMedia studiesArt historyLiteratureSociologyArt

Abstract

fetched live from OpenAlex

This book is the story of an ambitious and proudly idealistic project, the Pushkin Summer Institute at the University of Wisconsin-Madison, a six-week residential program for high school students of Chicago-area minority communities.The program offers instructions in Russian language and culture with the focus on Pushkin.It prepares students for the demands of college life by developing critical thinking and writing skills, but its true aspiration is to recreate the atmosphere of Pushkin's Lyceum, or at least, "something approaching the Lyceum experience for today's kids in need" (p.17).The Lyceum's curriculum, based on the humanistic principles of the Enlightenment and taught by professors of talent and integrity, determined Pushkin's and his classmates' life paths.David Bethea and his team aim to provide kids from Chicago's Hermosa neighborhood with the same transformative experience.The parallel story, in the opening chapter, is the scientific grounding of the project's objectives in modern evolutionary thought because culture and biology share developmental processes and patterns.Bethea establishes similarities between a text and a cell as tightly structured autonomous units, in which the whole and its parts must interplay.Cultural and biological evolution-what deserves to survive-inform each other.Bethea considers Pushkin's texts "life lessons in light of evolutionary theory and practice" (p.134).Pushkin, thus, "is a unique artistic talent, one whose Russian/African heritage can inspire our students, but also, and no less important, he is a representative of a primate species, and species evolve" (p.128).Pushkin's works at the center of the curriculum are "The Shot, "The Station Master," The Blackamoor of Peter the Great, and "The Queen of Spades."Each excellent chapter gives a detailed background against which the stories should be read: the semiotics of the duel and of the card game, Pushkin's family history, and so on.There are close readings, and analysis of how Pushkin's language reveals the text's psychological and philosophical underpinnings.Each chapter focuses on the texts' relatability: contemporary students recognize in Pushkin's storylines the dilemmas they face in their own lives, such as the male competition and macho posturing of "The Shot," or the conflict between filial devotion and sexual attraction faced by Dunia in "The Station Master."The Blackamoor of Peter the Great is a perfect text to explore the intertwining of race, ethnicity, and group identities.This chapter provides a detailed story of Pushkin's ancestry and his family as the background for Pushkin's unfinished novel; the space between the real and the fictional is where Pushkin, and PSI students, ponder the issues of racial identity and mate choice.And, finally, reading "The Queen of Spade" prompts considerations of risk versus reward, and also of what matters more in terms of survival skills, acquiring wealth or building relationships.

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)0.001
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: Review · Consensus signal: Review
Teacher disagreement score0.005
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0010.002
Scholarly communication0.0030.004
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.002

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 head0.064
GPT teacher head0.318
Teacher spread0.254 · 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
Published2024
Admission routes1
Has abstractno

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