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Record W2888095588 · doi:10.7765/9781526125965.00011

Daughters of the house

2017· book-chapter· en· W2888095588 on OpenAlexaboutno aff
Elleke Boehmer

Bibliographic record

VenueManchester University Press eBooks · 2017
Typebook-chapter
Languageen
FieldArts and Humanities
TopicShort Stories in Global Literature
Canadian institutionsnot available
Fundersnot available
KeywordsExpatriateInscribed figureDaughterGender studiesNationalismNarrativeDramaPatriarchyColonialismHistorySociologyGenealogyLiteratureArtPolitical scienceLaw

Abstract

fetched live from OpenAlex

This chapter examines how three very different post-colonial women writers have written themselves into the national family script, or redrafted the daughter's relationship to the national father. The novels in question are: the expatriate Australian Christina Stead's The Man Who Loved Children (1940); the Nigerian-born London writer Buchi Emecheta's Destination Biafra (1982); and the American-born Canadian Carol Shields's Unless (2002). The chapter focuses on the daughter's position in the three novels relative to the family, tradition or community, where these structures are in each case figured as analogous to or integrated with the nation, thus approaching the narratives as gender and nationalist theories-in-text. Yet, despite their varying determinations, all three are distinguished by their preoccupation with daughterhood. Towards setting up the comparative frame, the gender roles inscribed within the national family drama can be further elaborated by drawing on Olive Schreiner's The Story of an African Farm (1883) as an interpretative paradigm.

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 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 score0.972
Threshold uncertainty score0.922

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.033
GPT teacher head0.185
Teacher spread0.152 · 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.

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
Published2017
Admission routes1
Has abstractyes

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