Bibliographic record
Abstract
Margaret Laurence was one of the most loved novelists of her generation. She wrote, proudly, in the Canadian idiom, and she wrote of a smalltown experience that was specifically Manitoban but also applied generally to the whole nation. Her four Canadian novels and one short story cycle continue to be mainstays of Canadian literature, while her African works of fiction and non‐fiction are considered important contributions to the understanding of colonial experience in Africa in the 1950s. She was a noted stylist who also managed to convey complex political concerns subtly. In her Canadian fiction, she was interested in the place of women in mid‐century Canada, in how the social focus in the nation was shifting from a rural and small‐town experience to an urban one, and more generally in the changes in Canada's socio‐cultural fabric that occurred leading up to and following the nation's 1967 centenary. Her characters live in the fictional world of Manawaka, a town modeled on Neepawa, Manitoba, but they also migrate to Vancouver and Toronto, as well to London, England and rural Ontario, giving her social insights broad application.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.012 | 0.002 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.083 | 0.011 |
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".