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ԻՆՔՆՈՒԹՅԱՆ ԴՐՍԵՎՈՐՄԱՆ ԽՆԴԻՐՆԵՐՆ ՈՒ ՖԵՄԻՆԻՍՏԱԿԱՆ ԱԿՆԱՐԿՆԵՐՆ ԱԼԻՍ ՄԱՆՐՈՅԻ ԵՎ ՄԱՐԳԱՐԵԹ ԱԹՎՈՒԴԻ ՍՏԵՂԾԱԳՈՐԾՈՒԹՅՈՒՆՆԵՐՈՒՄ / THE IDENTITY ISSUES AND FEMINISTIC HINTS IN THE WORKS OF ALICE MUNRO AND MARGARET ATWOOD

2023· article· en· W4402523818 on OpenAlexaboutno aff
Sona Hayrapetyan

Bibliographic record

VenueEvropakan akademia. Gitakan hodvatsneri zhoghovatsu. · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicShort Stories in Global Literature
Canadian institutionsnot available
Fundersnot available
KeywordsIdentity (music)Alice (programming language)FeelingSociologyPsychoanalysisExistentialismGender studiesAestheticsPsychologyLawHistoryArtArt historySocial psychologyPolitical science

Abstract

fetched live from OpenAlex

The main purpose of this article is to represent the visible identity issues in the works of Alice Munro and Margaret Atwood as Canadian authors, as well as to focus on their female voices as examples of feminist literature. In their works, both authors strive to show their feminine emotions and feelings, trying to raise a number of questions related to identity and women. As Canadian literature experienced its existential crisis in the 20th century, there was a need to protect and give Canadian literature a greater voice. That is why the issues of preserving identity and creating its vision arose. And that was the reason why the best field of expression for Alice Munro and Margaret Atwood was literature, through which they tried to express themselves, thereby showing their feminist views. Through their works, the authors try not only to show certain questions and problems regarding the equality of women’s rights but also to offer their own solutions that can be useful in the concepts of feminist literature. Both Alice Monroe’s and Margaret Atwood’s literary works tend to reveal the inner emotions, conflicts, riots, and resulting intrapersonal manifestations of a woman as an individual.

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)0.002
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: Other · Consensus signal: Other
Teacher disagreement score0.490
Threshold uncertainty score0.987

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0250.034
Scholarly communication0.0080.002
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.028
GPT teacher head0.288
Teacher spread0.260 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueEvropakan akademia. Gitakan hodvatsneri zhoghovatsu.Same topicShort Stories in Global LiteratureFrench-language works237,207