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Record W2150866385

Refusing to Tell: Gender, Postcolonialism, and Withholding in M.G. Vassanji's The Book of Secrets

2010· article· en· W2150866385 on OpenAlexaffvenue
Alison Toron

Bibliographic record

VenuePostcolonial text · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Maritime and Colonial Histories
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsSilenceAllegoryPostcolonialism (international relations)NarrativeColonialismGender studiesPostmodernismContext (archaeology)Resistance (ecology)SociologyPatriarchyFeminismPostcolonial literatureAgency (philosophy)HistoryAestheticsLiteratureArtSocial science
DOInot available

Abstract

fetched live from OpenAlex

This paper examines the ways in which M.G. Vassanji's novel The Book of Secrets (1994) engages with postcolonial feminist theory in the context of a fictionalized Muslim community in present day Kenya. While previous studies have examined the text in light of such concepts as postmodernism, history, memory, and space, there has been no sustained feminist analysis of the novel to date. Examining the character Mariamu as the primary locus around which gendered powered relations operate, this paper argues that the text paradoxically reveals its resistance to patriarchal and colonial discourses by withholding multiple secrets and refusing narrative closure. By using a female character as an allegory for Africa, Vassanji both panders to traditional colonial discourses that view the land as a feminine entity to be penetrated and conquered while also subverting those discourses through the process of withholding. This alignment of gender and incomprehensible mystery is potentially dangerous, as it risks marginalizing Mariamu and other voices deemed deviant or suspect, such as that of the gay poet Gregory. However, the text is able to subvert the gendered tropes that objectify and silence women, opening up complex questions of agency and the ability to speak and be heard.

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)0.001
metaresearch head score (Gemma)0.001
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.923
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.015
GPT teacher head0.296
Teacher spread0.280 · 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
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

Citations3
Published2010
Admission routes2
Has abstractyes

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