Bibliographic record
Abstract
Colonialism has been encountered by the majority of people living in the world today, and the literature created in different parts of the world and challenges the Eurocentric conceptions of culture are characterized by multiplicity, variety, diversity, and richness, Canadian literature, one of those many works of literature, relates its colonial past and way of thinking and feeling so profoundly rooted in its psyche, diversity and wealth. In the light of postcolonialism, the paper aims to include an in-depth study of Margaret Laurence's African literature. Her African novel This Side Jordan, written in this light, set in the Gold Coast in the 1950s, illuminates a specific time in African history and expresses an insight gained from contemplating its colonial past. The white people look down with scorn and disdain on the Africans. Gold Coast is in the process of Africanization, i.e. Europeans are being replaced by Africans everywhere and these white employers feel that Africans lack administrative capacity A white lady writing about African colonial encounters, her novel This Side Jordan exhibits her untroubled or serene double-consciousness. Besides, the novel depicts, together with their repressive mind-set, the troubles and turmoil of the English colonizers too. Laurence differs from other colonial authors in this and appears to be a human being who transcends the walls of hatred and bigotry.
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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 | 0.002 | 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 | 0.018 | 0.011 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".