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'Below the Level of the Visible': The Mathematics of Space in Jane Smiley's A Thousand Acres «SOUS LE NIVEAU DES VISIBLES»: LES MATHEMATIQUES DE L'ESPACE DANS MILLE ACRES DE JANE SMILEY

2010· article· fr· W1828731681 on OpenAlexvenueno aff
Nayef Ali Al-Joulan

Bibliographic record

VenueCross-cultural communication · 2010
Typearticle
Languagefr
FieldPsychology
TopicLanguage, Metaphor, and Cognition
Canadian institutionsnot available
Fundersnot available
KeywordsSmileyNarrativeSpace (punctuation)Presentation (obstetrics)HumanitiesArtSociologyArt historyLiteraturePhilosophyLinguistics

Abstract

fetched live from OpenAlex

This paper examines Jane Smiley’s presentation of space within a distinctive scientific discourse. It argues that mathematics and other sciences are recruited in A Thousand Acres in a manner that turns literary language into a scientific analysis of the land and the people and by which mechanisekphrasis poses as a distinctive therapeutic m of recall since, after all, the whole narrative is presented as an act of remembering a past along with a specific space. The study also underlines how Smiley questions the validity of science, mainly mathematics. Nonetheless, it concludes that by recruiting the sciences within her ekphrastic style, Smiley underscores that cognitive ekphrastic literature is the domain where the contested sciences and humanities might be allied, and where the sciences might overcome their abstractness and numbness and the humanities achieve a rational background. Keywords: Jane Smiley; A Thousand Acres; Scientific Literature; Ekphrasis; Spatial Literature; American 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)0.004
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 score0.007
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.013
Scholarly communication0.0050.006
Open science0.0000.003
Research integrity0.0020.004
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 head0.045
GPT teacher head0.358
Teacher spread0.313 · 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

Citations1
Published2010
Admission routes1
Has abstractyes

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