Reading Beyond Race in Margaret Laurence’s “The Loons” from A Bird in the House
Bibliographic record
Abstract
Margaret Laurence’s short story “The Loons” from A Bird in the House (1970) has proved highly controversial as an example of racist or anti-racist literature. The question is which? Laurence’s bifocal narrative technique allows the mature narrator Vanessa MacLeod to revise her childhood prejudices and satirize the racial stereotypes in her ten-year-old self’s perception of Piquette Tonnerre. Some critics have opined that, in the last sentence of the story, Laurence reinscribes the racism she has taken pains to deconstruct. Considering the story in context, however, suggests the focus of the story is the death of Vanessa’s father. Realizing Piquette shares her grief inspires Vanessa to view her, years later, as an individual. The loons, “those phantom birds,” prophesy death. Vanessa realizes Piquette, who suffered so greatly, “might have been the only one, after all, who had heard the crying of the loons.”
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.019 | 0.013 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".