MétaCan
Menu
Back to cohort
Record W1542085647

Decentralization of the Patriarchal Household in the Good Apprentice

2014· article· en· W1542085647 on OpenAlexvenueno aff
XU Ming-ying

Bibliographic record

VenueCanadian social science · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicPhilosophy and Literary Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsOppressionVictoryHappinessPower (physics)Gender studiesSociologyInequalityDominance (genetics)ApprenticeshipPolitical scienceLawPhilosophyPolitics
DOInot available

Abstract

fetched live from OpenAlex

This paper focuses on the reconstruction of female selfhood through Murdoch’s elaboration of the multiple ways that the women use to integrate their female self by decentralizing the patriarchal household. According to her philosophical view on the misuse of power regardless of gender, Murdoch illustrates women’s frailties in the example of Mother May in The Good Apprentice, who becomes a power figure in her family taking the advantage of her husband’s decaying health. It illustrates Murdoch’s philosophical opinion that the woman, as the winner in the fight against the gender inequality and patriarchal oppression in the family, is likely to continue the male dominance instead of liberating herself from the male supremacy and attaining the perfect life. In conclusion, that’s not the real victory over the male oppression but a continuation of male domination in disguise since it brings no benefits to increase women’s happiness and change their lives.

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0090.045
Scholarly communication0.0040.004
Open science0.0010.005
Research integrity0.0010.003
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 head0.026
GPT teacher head0.206
Teacher spread0.180 · 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 designTheoretical or conceptual
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
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueCanadian social scienceSame topicPhilosophy and Literary AnalysisFrench-language works237,207