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Record W4389792003 · doi:10.23856/6011

THE IMAGES OF FEMALE WRITERS IN THE “EMILY” AND “ANNE” SERIES BY L.M. MONTGOMERY

2023· article· en· W4389792003 on OpenAlexaboutno aff
Kateryna Nikolenko

Bibliographic record

VenuePolonia University Scientific Journal · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicShort Stories in Global Literature
Canadian institutionsnot available
Fundersnot available
KeywordsScholarshipPortraitPoeticsContext (archaeology)SubjectivityLiteratureSociologyArtArt historyHistoryPhilosophyPoetryEpistemologyLawPolitical science

Abstract

fetched live from OpenAlex

While the Künstlerroman may well be considered one of the genres that have blossomed most prominently in the 20th century English-Canadian literature, research investigating its poetics has remained on the fringes of literary scholarship. This paper examines L.M. Montgomery’s sophisticated use of the Künstlerinroman through her portraits of female writers in the Emily and Anne series. My goal is to explore how Montgomery’s heroines choose to narrate themselves and the world around them, how they transcend difficulties and assert their own unique perspectives. Therefore, this paper examines not only the socio-cultural environment which served as background for the creation of literature, but also the writer’s reflections regarding the process of bringing said literature into the world. Drawing on the scholarship of J. Buckley, R. Seret, E. Varsamopoulou, F. Hammill, K. Macfarlane, G.A. Guth and others, this paper aims to analyze L.M. Montgomery’s “sophisticated handling of genre” (E.R. Epperly) in greater depth and place her portraits of the female artists within a broader cultural and literary context. The question of female subjectivity, which concerns women’s perceptions of their own writing (and their fate as artists), is central to my research.

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: Empirical
Teacher disagreement score0.052
Threshold uncertainty score0.104

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0130.006
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.002
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 head0.010
GPT teacher head0.199
Teacher spread0.189 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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Same venuePolonia University Scientific JournalSame topicShort Stories in Global LiteratureFrench-language works237,207