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Record W2990773831 · doi:10.5539/ells.v9n4p33

The Representation of Motherless and Fatherless Homes in Novels of George Eliot

2019· article· en· W2990773831 on OpenAlexvenueno aff
Tahira Jabeen

Bibliographic record

VenueEnglish Language and Literature Studies · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicGender and Women's Rights
Canadian institutionsnot available
Fundersnot available
KeywordsGeorge (robot)DutyPeriod (music)SociologyMiddle classRepresentation (politics)Gender studiesPsychologyLawAestheticsArt historyHistoryArtPolitical science

Abstract

fetched live from OpenAlex

George Eliot wrote about the social, cultural, and historical issues of her time. She represented the middle-class homes in her novels and showed how the Industrial Revolution changed the very setting of domestic environment. The home became the domain of women, where they were to fulfil the nurturing duties while men moved to work place to provide for their dependents. In middle class families, the nurturing duty was not the domain of the father only in the society of this period. Fathers and mothers substituted their duties either under extraordinary circumstances or as a matter of choice. This study analyses the substitution of duties by fathers and mothers in Eliot’s novels with the help of comprehensive and interdisciplinary supporting literary, social, and historical resources like magezines and books, from the Victorian age. The study concludes that George Eliot’s homes are not perfect without a benevolent mother and responsible father.

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)0.004
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 score0.012
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0120.014
Scholarly communication0.0060.002
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.305
Teacher spread0.296 · 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

Citations1
Published2019
Admission routes1
Has abstractyes

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