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Record W2891475590 · doi:10.3968/10357

Literature Review on Morrison’s Beloved From the Perspective of New Historicism

2018· article· en· W2891475590 on OpenAlexvenueno aff
Huang Nian-ci, Ruwen Zhang

Bibliographic record

VenueStudies in literature and language · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicRace, History, and American Society
Canadian institutionsnot available
Fundersnot available
KeywordsHistoricismNew HistoricismWrightWhite (mutation)MainstreamLiteratureHistory of literatureDepictionHistoryPerspective (graphical)Western literatureAmerican literatureArt historyArtPhilosophyTheology

Abstract

fetched live from OpenAlex

As one of the most formally sophisticated novelists in the history of African American literature, Toni Morrison (1931-) has exerted vibrating influence upon the literary world. Her achievement in literature marks another monument in African American literature after the summit reached by Richard Wright (1908-1960) and Ralph Ellison (1914-1994). Beloved (1987), Morrison’s masterpiece, deals with the legacy of slavery in its depiction of a runaway slave’s struggle to claim the freed self. Since its publication, Beloved has inspired a considerable quantity of reviews, essays and book-length studies on various subjects with different critical methodologies both at home and abroad. Through analyzing these studies on Beloved, it can be found that part of Morrison’s project in Beloved is to subvert the mainstream white culture’s tampering of the black culture, restore their survival condition, and reconstruct the marginalized black history. Her unique way of dealing with history in fiction and the relationship between history and fiction coincides with the core of New Historicism.

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)0.011
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 score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0100.012
Science and technology studies0.0020.003
Scholarly communication0.0040.006
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0070.001

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 head0.020
GPT teacher head0.348
Teacher spread0.328 · 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
Published2018
Admission routes1
Has abstractyes

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