Bibliographic record
Abstract
The article provides an interpretation of “Courtroom Dramas,” a short story from J. J. Steinfeld’s fiction collection Would You Hide Me? (Gaspereau, 2003). First, the paper examines Steinfeld’s articulation of traumatic loss, and interprets the trial in “Courtroom Dramas” as a means for a grandson to mourn his deceased grandmother and (through memory of her) others unknown to him in the Holocaust. Here the fictional account of loss interacts productively with various theoretical models prevalent in the field of trauma studies. Second, historical justice issues embedded in this Holocaust story are revealed. Steinfeld’s fiction is situated, finally, within a body of auto-ethnographic writing on the Nazi genocide, work foregrounding trans-generational memory. Cet article offre une interprétation de Courtroom Dramas, une nouvelle du recueil de J. J. Steinfield, Would You Hire Me? (Me cacheriez-vous ?) (Gaspereau, 2003). Il porte d’abord sur la manière dont Steinfeld exprime une perte dramatique et présente une interprétation du procès dans Courtroom Dramas comme un moyen pour le petit-fils de faire le deuil sa grand-mère décédée et (en se souvenant d’elle) de celui d’autres victimes de l’holocauste qu’il n’a pas connues. Une interaction productive se fait ici jour entre l’exposé de la perte dans une œuvre de fiction et divers modèles théoriques prévalant dans le domaine des études de traumatismes. En second lieu, l’article révèle des questions de justice historique enchâssées dans cette histoire de l’holo-causte. Enfin, il situe la nouvelle de Steinfeld dans l’ensemble des écrits auto-ethnographiques sur le génocide nazi, un travail qui met en avant la mémoire transgénérationnelle.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".