Bibliographic record
Abstract
Présenté comme un « antépisode moderne au conte de Cendrillon », le roman Javotte de Simon Boulerice s’inscrit dans le courant des variations cendrillonesques, en référant aux versions de Charles Perrault et des frères Grimm, ainsi qu’à l’adaptation filmique de Walt Disney. Toutefois, il a la particularité de se recentrer plutôt sur le personnage de la demi-soeur, « tirée d’un conte de fées, mais catapultée dans son xxie siècle » (Javotte, p. 105), qui est tiraillée entre sa méchanceté et le fantasme obsessif de ressembler à une princesse. L’imaginaire archaïque du conte nourrissant l’intrigue y est ainsi détourné par la narratrice entretenant un rapport trouble avec ces oeuvres. Dans cet article, l’auteure cherche plus particulièrement à dégager la vision subversive et parodique que le roman propose de l’éclatement de la mémoire des contes merveilleux à notre époque, où l’« [o]n n’a plus les contes que l’on avait » (Javotte, p. 105), tout en montrant comment leur accumulation participe à l’ambiguïté identitaire de la narratrice, qui cherche simultanément à s’y comparer et à les mettre à mal.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.008 | 0.012 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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".