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Record W3209091427

Margaret Atwood's Surfacing: Feminism and Sexual Politics.

2019· article· en· W3209091427 on OpenAlexaboutno aff
Nayana Ashok

Bibliographic record

VenueJournal of Emerging Technologies and Innovative Research · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsFeminismPatriarchyPoliticsGender studiesPerversionSociologyGirlPsychoanalysisPolitical scienceLawPsychology
DOInot available

Abstract

fetched live from OpenAlex

Feminism and Sexual politics are not inherent but embedded. They mainly presented Women who were trapped in the traditional roles set by the patriarchal society. The social conditioning of girl-child, gender discrimination, and self-abnegation abet stereotyped roles. Feminism and Sexual Politics, in general, used to describe political, social and economic movements. It aims at establishing more rights and proper protection for women. It does not have a single key definition as the American radical feminist and writer Gloria Steinem’s view, the emphasis is on the intellectual background. “The purpose of feminism is to free the uniqueness of the individual and to understand that inside each of us is a unique human being who is a combination of heredity and environment.” Margaret Atwood presents the wicked warp of patriarchy which does not give women any status in Canadian society. This paper interrogates the factors responsible for the subjugation and perversion of women.

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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.688
Threshold uncertainty score0.620

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0090.008
Scholarly communication0.0040.006
Open science0.0010.003
Research integrity0.0060.005
Insufficient payload (model declined to judge)0.0100.002

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 head0.062
GPT teacher head0.372
Teacher spread0.311 · 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
Published2019
Admission routes1
Has abstractyes

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