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Record W2512371363 · doi:10.3968/8586

A Marxist Reading of Mary Barton

2016· article· en· W2512371363 on OpenAlexvenueno aff
Wenrui Yang, Wei Wang

Bibliographic record

VenueStudies in literature and language · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicSociology and Cultural Identity Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMarxist philosophySympathyDepictionReading (process)SociologyPoliticsWorking classAestheticsLiteratureClass (philosophy)EpistemologyPhilosophyPsychoanalysisLawPsychologySocial psychologyArtPolitical scienceLinguistics

Abstract

fetched live from OpenAlex

Mary Barton is a realistic novel written by Mrs. Gaskell. It assumes in the reader not only imaginative sympathy with the distress of the Manchester workers, but also knowledge of the social and political movement of the 1840s, which so often offered hopes to the oppressed. By applying Marxist literary theory to the reading of this novel one can find how subtle the authoress’ depiction of growing hope and then crushing despair of the workingmen. Also, by using Marxist critique one can discover the authoress, while trying to write from the working people’s viewpoint, can not simply empty herself of all her inherited middle-class attitude, which results in the unconvincing and doubtful ending of the novel.

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)0.003
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 score0.007
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.011
Scholarly communication0.0060.003
Open science0.0010.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0060.001

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 head0.025
GPT teacher head0.374
Teacher spread0.349 · 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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