Representation de la peur dans le roman de premiere lecture au Quebec de 1995 a 2005 : nouvelles identites masculines ou statu quo?
Bibliographic record
Abstract
This master's thesis studies the representations of fear, to uncover the emotional model transmitted by the authors of children's literature in Quebec, mainly of the "first novels" category. This category of novel is written for children 6 to 9 years of age. Our study is based on these novels spanning the decade 1995 to 2005. The representations of fear are addressed via three distinct areas of expertise: children's developmental psychology, literary theory and Gender Studies. The first chapter examines the field of children's literature research, the second chapter studies different aspects of fear, the third chapter identifies the narrative strategies authors employ, to finally define the emotional model which is inscribed in the "first novel" published in Québec today. The study of the representations of fear establishes a masculine emotional model. This model transmits established social values and helps to restructure ideals of masculinity.
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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 | 0.006 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.010 |
| Science and technology studies | 0.009 | 0.006 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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, 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".