Bibliographic record
Abstract
Margaret Laurence Writes Africa and Canada is the first book to examine how Laurence addresses decolonization and nation building in 1950s Somalia and Ghana, and 1960s and 1970s English Canada. Focusing on Laurence’s published works as well as her unpublished letters not yet discussed by critics, the book articulates how Laurence and her characters are poised between African colonies of occupation during decolonization and the settler-colony of English Canada during the implementation of Canadian multiculturalism. Laurence’s Canadian characters are often divided subjects who are not quite members of their ancestral “imperial” cultures, yet also not truly “native” to their nation. Margaret Laurence Writes Africa and Canada shows how Laurence and her characters negotiate complex tensions between “self” and “nation,” and argues that Laurence’s African and Canadian writing demonstrates a divided Canadian subject who holds significant implications for both the individual and the country of Canada. Bringing together Laurence’s writing about Africa and Canada, Davis offers a unique contribution to the study of Canadian literature. The book is an original interpretation of Laurence’s work and reveals how she displaces the simple notion that Canada is a sum total of different cultures and conceives Canada as a mosaic that is in flux and constituted through continually changing social relations.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.004 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.027 | 0.004 |
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".