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Record W2547221329 · doi:10.3968/8862

An Analysis of Religious Images in Flannery O’Connor’s Novel Wise Blood

2016· article· en· W2547221329 on OpenAlexvenueno aff
Min Guan

Bibliographic record

VenueStudies in literature and language · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicFlannery O'Connor and Thomas Merton
Canadian institutionsnot available
Fundersnot available
KeywordsFlanneryO'ConnorMeaning (existential)Context (archaeology)RealmLiteratureStyle (visual arts)PilgrimWriting styleHistoryPhilosophyAestheticsArtTheologyEpistemology

Abstract

fetched live from OpenAlex

Speaking of the Southern Women’s writing of the 20th century, Flannery O’Connor would be on the top of the list. After two novels and thirty-two stories, Flannery O’Connor, a Roman Catholic living in the American South, passed away of disease at the age of 39. Since her first novel Wise Blood which was published in 1952, her influence on literature and art has steadily been increasing—she won numerous awards in her not long life. According to McFarland, Thinking is that the realm of the Holy interpenetrates this world and affects it. It is the workings of this mystery that she was most concerned with demonstrating in her fiction. By her own explanation, the grotesquerie of her stories is directly related to her Christian perspective. Wise Blood was surely embedded in her religious views and reflected her unique writing style—the use of violence and bizarre characters, and the theological meaning, later to become its strength. Thus, the author tries to present the notions above in this paper, which is divided into five parts. The first part is an introduction of Flannery O’Connor; the second part is a brief analysis of Flannery O’Connor’s writing style. The third part focuses on the Christian cultural context of the novel, and the next part presents religious views of O’Connor through two characters: Hazel Motes and Enoch Emery. The last part is conclusion.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.054
Threshold uncertainty score0.108

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0160.023
Scholarly communication0.0080.003
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.009
GPT teacher head0.268
Teacher spread0.259 · 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
Published2016
Admission routes1
Has abstractyes

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