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Record W2906807755 · doi:10.3968/8639

Harmonious Concordance of Men, Women and Nature: A Study of Lawrence’s Ecological Philosophy in His Lady Chatterley’s Lover

2016· article· en· W2906807755 on OpenAlexvenueno aff
Yaoyao Wang

Bibliographic record

VenueStudies in literature and language · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicModernist Literature and Criticism
Canadian institutionsnot available
Fundersnot available
KeywordsVitalityEcological civilizationHuman sexualityCivilizationEnvironmental ethicsSociologyPhilosophyEcologyHistoryGender studiesTheologyArchaeologyBiologyChina

Abstract

fetched live from OpenAlex

D. H. Lawrence stands as a talented and unconventional writer in the twentieth century English Literature. Lady Chatterley’s Lover is his last novel which embodies his mature thought. The novel earns him both great fame and strong criticism. In spite of the controversies over Lawrence’s daring description of sexuality, the novel stands the test of time and becomes a classic of literature. The paper intends to reveal Lawrence’s ecological philosophy in Lady Chatterley’s Lover . By depicting harmonious nature and harmonious sex relationship, Lawrence presents his ecological philosophy. In the novel, harmonious nature is a silent protest against industrial civilization reflected by the contrast between Wragby and the wood. The harmonious sex relationship in nature is a great liberation of suppressed human nature. The disharmonious relationship between Clifford and Connie is like the deadwood lacking vitality, while the harmonious sex relationship between Mellors and Connie is like intertwining shoots which give mutual supports and vigor. Lady Chatterley’s Lover reflects Lawrence’s far-reaching ecological views and his concern about the whole ecosphere which embodies his strong social responsibility.

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)0.004
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: Other · Consensus signal: Other
Teacher disagreement score0.035
Threshold uncertainty score0.075

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0170.045
Scholarly communication0.0090.005
Open science0.0010.004
Research integrity0.0020.004
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 head0.280
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
GenreOther

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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