The concept of the savage other in french canadian women’s writings of the 1930s
Why this work is in the frame
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Bibliographic record
Abstract
The author analyses the concept of the savage Other used in French Canadian women’s writings of the 1930s, especially in a novel of Marie Le Franc (Hélier, Fils des bois, 1930) and Mon Sauvage (1938) by Laure Berthiaume-Denault. Though the savage Other is shown as a modern man associated with natural or urban environments, he still lends himself to interpretation derived from the myth of the noble savage. However, as the example of these selected narratives shows, this myth may be interpreted, from a feminine perspective, as the desire of the Other. This paper also discusses the place of a woman in the Canadian Far North – that is, in a context traditionally linked with men taking on roles as expedition explorers and colonisers. In addition, the purpose of this study is to explore the perceptions on gender roles in these writings.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.013 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 it