Patriarchy in Buchi Emecheta’s The Slave Girl and Bessie Head’s A Question of Power: A Gynocentric Approach
Bibliographic record
Abstract
African literature has been dominated by male African writers. However, there are a number of female African writers who contributed to the literary landscape of the continent significantly. In line with this, researches that deal with issues of gender in African literature are increasing (Fonchingong, 2006; Salami-Boukari, 2012; Stratton, 1994). In this study, I aim to expose patriarchal oppression in two selected post-colonial African novels. I ask “How do postcolonial African female writers expose gender oppression and patriarchy in their novels?” I ask how the female characters in the selected novels resist patriarchal dominance and oppression. I seek to uncover any thematic patterns and/or overlaps that would emerge across the selected novels. To achieve this, I analyze two feminist Anglophone African novels by female writers of the continent, namely ‘The Slave Girl’ and ‘A Question of Power’. Gynocentrism is used as an approach to achieve this purpose. The analyses of the novels make it feel that patriarchy is used as a tool to stabilize the discrimination of the feminine gender. The heroines in both novels are found to be patriarchal women with some attempt to reverse the gender order. The major female characters in the novels stand against the intersectional discrimination of the feminine from the male personhood, religion, as well as colonial culture. These discussions about patriarchy revive the vitality of African feminist novels to the present readers.
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 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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.015 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".