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Record W4400460031 · doi:10.21013/jems.v20.n2.p5

Pursuit and Hindrance: The Self-Identity of Mistress Hibbins in The Scarlet Letter and Cristina in Lives of the Saints

2024· article· en· W4400460031 on OpenAlexaboutno aff
Jialu Song

Bibliographic record

VenueIRA International Journal of Education and Multidisciplinary Studies · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicAmerican and British Literature Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsIdentity (music)PsychologySocial psychologyArtAesthetics

Abstract

fetched live from OpenAlex

In The Scarlet Letter (1850) by the famous American novelist Nathaniel Hawthorne, Mistress Hibbins, a character recognized as a witch in society, not only demonstrates a strong spirit of religious resistance but is also a forerunner of feminist thought. Similarly, in the Italian-Canadian novelist Nino Ricci’s debut and masterpiece Lives of the Saints (1990), Ricci succeeds in portraying Cristina, a woman with a rebellious spirit. These two female characters, though in different time and space backgrounds, have shown persistent pursuit of self-identity. Therefore, the objective of this essay is to delve into the relentless quest for self-identity and the obstacles encountered by Mistress Hibbins and Cristina within the context of alienation. Drawing on the theoretical framework of identity, this analysis aims to illustrate that despite their hardships and tragic endings, both women ultimately achieve a recognition of their own identity.

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: Empirical
Teacher disagreement score0.079
Threshold uncertainty score0.157

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0200.020
Scholarly communication0.0050.002
Open science0.0010.004
Research integrity0.0020.003
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 head0.021
GPT teacher head0.326
Teacher spread0.306 · 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
Published2024
Admission routes1
Has abstractyes

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Same venueIRA International Journal of Education and Multidisciplinary StudiesSame topicAmerican and British Literature AnalysisFrench-language works237,207