At that time in history: Aboriginal stereotypes, victimhood and empowermen
Bibliographic record
Abstract
Yvonne De Carlo was a Canadian-born, American movie actor. The famous beauty was at the height of her film career in the 1940s and 1950s. In 1956 she won a leading role in Cecil B De Mille's epic movie 'The Ten Commandments'. Cast as Zephora, her character was the wife of Moses, played by Charlton Heston. But offers of big-screen roles became scarce for De Carlo and, in the year that I was born, 1964, she moved to the small screen to take on what became her most famous role, as Lily Munster in the hit television series 'The Munsters'. Although the series aired for only two seasons, re-runs gave it a remarkably prolonged life and won her generations of fans. On the Sunday after my ninth birthday, I met her.
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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) | 0.013 | 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; both teacher heads agree on what is shown here.
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".