(Hi)story in Search of Author(ity): Feminine Narration in J.M. Coetzee’s Foe
Bibliographic record
Abstract
Considering women as marginalized in the patriarchal frames, postcolonial studies has given impetus to a more meticulous study of the (mis)representation of women in literature. In parallel, Post-colonial writers have tried to give voice to this silenced group. Deprived of a voice in Defoe’s Robinson Crusoe , the female is given prominence as the narrator of its postmodern rewriting, Coetzee’s Foe . An exemplary postcolonial work in many respects, Foe also focuses the intersection of postcolonialsim and feminism in its use of a female point of view. The present paper is an attempt to analyze the significance of this female narrator, Susan Barton, with regard to such postcolonial issues as resistance, identity and language. Central to the discussion is the modality of Coetzee’s postmodern rewriting, that is, his employment of ‘historiographic metafiction’ and its relevance to the postcolonial issues addressed. Key words: J.M. Coetzee; Foe ; Daniel Defoe; Robinson Crusoe ; Historiographic metafiction; Colonialism; Feminine narration; History
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.007 | 0.007 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".