Bibliographic record
Abstract
Resume: Cet article propose une lecture du roman The Diviners de Margaret Laurence qui priviliegie les elements qui font de ce recit un exemple ideal pour aborder en classe les questions fondamentales du postcolonialisme: la definition de l'identite canadienne dans un milieu multiculturel, la denonciation des partis pris de l'histoire traditionnelle, la volonte de reviser l'histoire du Canada et l'exploration des liens entre le feminisme, la conscience des classes sociales et l'ideologie postcolonialiste. Summary: This paper offers a reading of Margaret Laurence's The Diviners that highlights its potential as a basis for classroom discussions of issues central to postcolonial theory: the definition of Canadian identity in a multicultural classroom; the biases of traditional Canadian history; the movement towards rethinking and rewriting Canadian history; and the links between feminism, class, and postcolonialism. The Diviners illustrates the extent to which Canadian history has been fictionalized but has become regarded as truth. The novel re-imagines Canadian history and uses multiple perspectives--and consequently multiple narratives--to create a space for those who have previously been denied creative/political power, namely the Metis, the working classes, and women.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: yes | Not applicable | low |
| gpt | no category Domain: not available · Genre: Commentary About the Canadian research system: no · About a Canadian topic: yes | Theoretical or conceptual | high |
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.026 | 0.024 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 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, unvalidatedLabeled directly by 2 models reading the full record.
The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.
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".