Bibliographic record
Abstract
In seven and a half interlinked stories, Aaron Kreuter’s Rubble Children tackles Jewish belonging, settler colonialism, Zionism and anti-Zionism, love requited and unrequited, and cannabis culture, all drenched in suburban wonder and dread. Sometimes realist, sometimes not, the book revolves around Kol B'Seder, a fictional Reform synagogue in the Toronto suburb of Thornhill. In these stories, the locked basement room in the home of the synagogue’s de facto patriarch opens onto a life-altering windfall; visions of an omnipotent third temple terrify; rhythms of the Jewish and scholastic year collide in bong rips and hash hits; alternate versions of Israel/Palestine play out against domestic drama. In the title story, a group of Jewish girls obsessed with the Holocaust discover that they are far from the only people who live in the rubble of history. Engaging, funny, dark, surprising, Rubble Children is a scream of Jewish rage, a smoky exhalation of Jewish joy, a vivid dream of better worlds.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.127 | 0.024 |
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".