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Record W1542085647

Decentralization of the Patriarchal Household in the Good Apprentice

2014· article· en· W1542085647 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.886
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.026
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