Bibliographic record
Abstract
Margaret Laurence is one of Canada's most respected writers.She is, naturally, most popular in Canada and most famous for her Manawaka cycle -and justly so.But her genius extends beyond the limits of nation, culture, or genre.Her oeuvre includes African as well as Canadian works, life-writing texts as well as creative fiction, children's books as well as adult literature.Divining Margaret Laurence: A Study of Her Complete Writings examines her achievement in all these areas and explores the development of her artistic genius throughout her career.To this end, it addresses all her major works, establishes a framework of introduction and conclusion, and provides a bibliography and annotations.This inclusive structure reveals the development of Laurence's artistic vision and vehicle.While Laurence wrote five books about Canada, her famous Manawaka cycle, she wrote an equal number of books about Africa.In fact, she published four books about Africa before she ever published fiction set in Canada.Therefore, the first major section of Divining Margaret Laurence deals with all her African writings, devoting chapters to two non-fiction texts -her translation of Somali folk literature, A Tree for Poverty: Somali Poetry and Prose (1954), and a critical study, Long Drums and Cannons: Nigerian Dramatists and Novelists,
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.339 | 0.149 |
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".