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Record W7037739984

Feminismus v ženské kanadské literatuře šedesátých a sedmdesátých let 20. století

2019· dissertation· en· W7037739984 on OpenAlexaboutno aff

Bibliographic record

VenueDigital Repository (National Repository of Grey Literature) · 2019
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlanarian Biology and Electrostimulation
Canadian institutionsnot available
Fundersnot available
KeywordsFemininityHuman sexualityNarrativeFeminismReading (process)Bachelor
DOInot available

Abstract

fetched live from OpenAlex

This bachelor thesis focuses on feminism in selected Canadian novels published in the 1960s and 1970s. The discussed novels are Marian Engel's Bear, Margaret Laurence's The Stone Angel, Alice Munro's Lives of Girls and Women, and Margaret Atwood's Surfacing. This thesis will concentrate on the feminist aspect of each work, and primarily on the rebellion against the patriarchal society - each of the protagonist rebels in a different way. Lou from Bear is using a feminine language to overpower men, as well as her sexual awaking and a rebirth into a new woman. Hagar's rebellion in The Stone Angel manages to subvert the male- dominated society, primarily thanks to her hidden femininity in the beginning, and also because of Laurence's usage of the first-person narrative in the present tense, which seemed to have been unusual in her time. Del from the Lives of Girls and Women subverted the society by choosing her own path, in the form of becoming a writer, as well as her breaking the taboos about women's sexuality by not only reading and talking about it but also by experimenting. The no-name narrator from Surfacing then again uses her language to take a feminine stance in society. Her rebellion is then also pictured by her quest for a better woman inside her. The second main focus of this thesis will be...

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.331
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0020.001
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 head0.005
GPT teacher head0.230
Teacher spread0.226 · 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.

Study designBench or experimental
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
Published2019
Admission routes1
Has abstractyes

Explore more

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