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Mordecai Richler’s The Apprenticeship of Duddy Kravitz: a Novel of Evolution and Self-evaluation

2023· article· en· W4382068122 on OpenAlexaboutno aff
M S - Arunprasad

Bibliographic record

VenueInternational Journal For Multidisciplinary Research · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicAmerican Jewish Fiction Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsApprenticeshipNarrativeAppealDreamIdentity (music)AestheticsSociologySightHistoryLawPsychologyLiteraturePolitical scienceArt

Abstract

fetched live from OpenAlex

Mordecai Richler is one one of the important novelists of Canada who wrote about life and ambitions of Jews in Canada. Most of Richler’s work are set in Montreal during the 1940s and 1970s. The present paper on "The Apprenticeship of Duddy Kravitz" captures the essence of the novel, highlighting its central themes and character development. It explores the coming-of-age narrative of a young, ambitious Jewish man who aspires to overcome his humble beginnings and achieve the material wealth and social standing that he believes will earn him respect and validation. Richler's novel offers a profound exploration of themes such as ambition, identity, class struggle, and the corrupting nature of unchecked ambition. Duddy's journey serves as a cautionary tale, revealing the consequences that can arise when one loses sight of their values and becomes consumed by the pursuit of personal gain. On a whole, this paper highlights the enduring relevance and timeless appeal of Richler's novel, as it explores universal themes and offers a distressing reflection on the human condition and the pursuit of the American Dream in a morally ambiguous world.

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)0.002
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 score0.064
Threshold uncertainty score0.128

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0130.016
Scholarly communication0.0060.002
Open science0.0010.002
Research integrity0.0010.003
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 head0.213
GPT teacher head0.452
Teacher spread0.239 · 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
Published2023
Admission routes1
Has abstractyes

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Same venueInternational Journal For Multidisciplinary ResearchSame topicAmerican Jewish Fiction AnalysisFrench-language works237,207