Anne Frank in the World Right Now...Just Now: Examining Politics in Childhood within the Politics of Childhood
Bibliographic record
Abstract
Resume: Le present article analyse la representation de la Shoah et de l'Apartheid dans la litterature pour la jeunesse comme moyen de sensibilisation aux questions politiques chez les jeunes lecteurs. A la lumiere de deux romans canadiens sur l'Holocauste, Fitting In de Sharon Kirsh et Lisa /em de Carol Matas, et de deux romans sud-africains sur l'Apartheid, 92 Queen's Road de Diane Case et Not Another Love Story de Dawn Garisch, les auteurs examinent l'apprentissage du politique chez les enfants et definit l'inscription de la litterature de jeunesse dans le domaine de la litterature politique. Summary: This article focuses on Holocaust themes and apartheid themes in youth literature as conduits to studying the emergence of political awareness in childhood and early adolescence. Using two contemporary Canadian novels of the Holocaust, Sharon Kirsh's Fitting In and Carol Matas's Lisa and two South African novels of apartheid, Diane Case's 92 Queen's Road and Dawn Garisch's Not Another Love Story , the article locates the study of politics in childhood within the body of literature on the study of the political novel generally.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.014 | 0.017 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".