One Yellow Rabbit's Nostalgic Romp with Fascism: Review of <i>Ilsa, Queen of the Nazi Love Camp</i>
Bibliographic record
Abstract
“Nazis. We love them.” Tony Barta, on Hollywood's fascination with fascism1 Ilsa, Queen of the Nazi Love Camp kicked off One Yellow Rabbit's twenty-fifth anniversary celebration. A dark musical satire, the play follows the travels of Usa (Denise Clarke) and the Colonel (Michael Green), two Nazis whose quest for Hitler's lost offspring leads them to the small community of Eckville, Alberta and to Holocaust denier Jim Keegstra (Andy Curtis). All the performers from the original 1987 production return to the stage, including live musicians, composer David Rhymer and violinist Karl Roth. Writer—director Blake Brooker, together with Rhymer, conceived Ilsa in 1987 as a response to the real-life case of Jim Keegstra, a high school teacher in Eckville, near Red Deer, who was teaching his social studies students that the Holocaust never took place. Keegstra, a former mayor, was stripped of his teaching certificate and charged with promoting hate speech.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.006 | 0.009 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".