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Record W2371481519

The Reconstruction of a Brave New World——A New Perspective of Text,Author and Reader

2008· article· en· W2371481519 on OpenAlexaboutno aff
Qin Mingli

Bibliographic record

VenueJournal of Harbin Institute of Technology · 2008
Typearticle
Languageen
FieldArts and Humanities
TopicShort Stories in Global Literature
Canadian institutionsnot available
Fundersnot available
KeywordsPerspective (graphical)Meaning (existential)Interpretation (philosophy)Function (biology)Process (computing)Product (mathematics)EpistemologySociologyLiteratureHistoryAestheticsLinguisticsComputer sciencePhilosophyArtVisual artsMathematics
DOInot available

Abstract

fetched live from OpenAlex

In the recent twenty years,the function of the author,the meaning of the text and the relationship of the author and his product with that of the reader are the major concerns of European and American writers both theoretically and in their writing process.Canadian author Carol Shields' Mary Swann is a typical work with such themes.The novel is mainly about how the four characters,from the camps of their own perspectives,with authority,interpret and reconstruct the history and the work of the dead woman poet in the novel.Shields attempts to reveal the relationship among the author,the text and the reader in the creation and interpretation process of a literary work in this novel.From Shields' perspective the author leaves the text after his intention is realized.The text thus acquires a relatively independent existence with the potentialities of contradicting and multiple interpretations.This situation creates the possibilities for the readers to reconstruct a new text with the previous one without the presence of the author.The process eventually leads to the reconstruction of a new world.

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)0.003
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.019
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0080.035
Scholarly communication0.0190.015
Open science0.0010.006
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0030.001

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 head0.023
GPT teacher head0.251
Teacher spread0.228 · 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 designTheoretical or conceptual
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
Published2008
Admission routes1
Has abstractyes

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Same venueJournal of Harbin Institute of TechnologySame topicShort Stories in Global LiteratureFrench-language works237,207