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Record W4389790898 · doi:10.23856/6012

FORMS OF INTERTEXT IN “ANNE OF GREEN GABLES” BY L.M. MONTGOMERY

2023· article· en· W4389790898 on OpenAlexaboutno aff
O. N. Nikolenko

Bibliographic record

VenuePolonia University Scientific Journal · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicFolklore, Mythology, and Literature Studies
Canadian institutionsnot available
Fundersnot available
KeywordsRomanceMythologyOrder (exchange)LiteratureIntertextualityContext (archaeology)Plot (graphics)ArtPhilosophySociologyHistory

Abstract

fetched live from OpenAlex

This paper analyzes different forms of intertext (biblical, artistic, and mythological) in L.M. Montgomery’s bestselling novel Anne of Green Gables in order to determine the novel’s intertextual connections with various phenomena of literature and art, and explore how the meanings of these intertextual elements are transformed in Anne of Green Gables as opposed to their original sources. While the plot of Anne Shirley’s growing up unravels locally (in a small Canadian town named Avonlea), it is also part of a broader cultural context, which is represented largely by intertextual means (direct and indirect quotations, allusions to the works by R. Browning, H.C. Andersen, W. Shakespeare, L. Carroll, W. Scott et al.). In this way, the author emphasizes Anne’s romantic worldview, her open-mindedness and vivid interest in literature, art and nature. By referencing the works of W. Shakespeare and S.T. Coleridge, L.M. Montgomery aims to further illustrate the motive of loneliness and abandonment as they are related to her heroine’s story (having lost her parents and spent the majority of her life in an orphan asylum). Biblical intertext also plays an important role when it comes to the relationship between Anne Shirley and Matthew Cuthbert. Different forms of intertext (literary, biblical, mythological) fulfil important functions in the text, especially in terms of creating multi-faceted characters, the social and cultural atmosphere of L.M. Montgomery’s era, and the various problems (social, moral, and artistic) discussed in her works.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.325
Threshold uncertainty score0.335

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.018
GPT teacher head0.212
Teacher spread0.194 · 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 teacher head, 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
Published2023
Admission routes1
Has abstractyes

Explore more

Same venuePolonia University Scientific JournalSame topicFolklore, Mythology, and Literature StudiesFrench-language works237,207