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Record W3171135176 · doi:10.5539/ells.v11n2p78

Animal Vision and Life Consciousness—‘Horse’ in D. H. Lawrence’s 1920s Short Stories

2021· article· en· W3171135176 on OpenAlexvenueno aff
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Bibliographic record

VenueEnglish Language and Literature Studies · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicModernist Literature and Criticism
Canadian institutionsnot available
Fundersnot available
KeywordsHumanityCivilizationSymbol (formal)ConsciousnessAestheticsSociologyEnvironmental ethicsArtArt historyPhilosophyLawPolitical scienceTheologyEpistemology

Abstract

fetched live from OpenAlex

D. H. Lawrence is seeking for the consciousness of life throughout his lifelong creation; he resorts to animals that bear closer connections with nature mainly in the 1920s. Based on three short stories which mention ‘horse’ in the title, “The Horse-dealer’s daughter” (1922), “The Woman Who Rode Away” (1925) and “The Rocking-horse Winner” (1926), this essay illustrates how horses function as Lawrence’s pastoral ideal, pursuit for the primitive and shape of humanity. From the background that represents the past agricultural lifestyle to a life vehicle that carries the woman to freedom, and finally to a symbol with fantasy that mirrors crises in human relations, Lawrence’s deepening attention towards the ‘horse’ belabors his life pursuit of the primitive and balances between the binary oppositions of animality and humanity, finding for modern people a way out of distortions under industrialization and civilization.

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: none
Teacher disagreement score0.020
Threshold uncertainty score0.053

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 studies0.0060.024
Scholarly communication0.0050.005
Open science0.0010.002
Research integrity0.0020.003
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 head0.015
GPT teacher head0.273
Teacher spread0.258 · 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
Published2021
Admission routes1
Has abstractyes

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