Bibliographic record
Abstract
Violence is an epidemic in the United States and homicide rates are a good measure of violence. Homicide rates in the United States are higher than in the rest of the industrialized world. Homicide rates in the major European countries and Canada range from 1 to 4 per hundred thousand residents (United Nations, 1991); whereas, in the United States the homicide rate is 8.7 per hundred thousand residents (U.S. Dept. of Commerce, 1991). The media improperly portrays violence as exclusively an inner-city African-American problem; however, the white homicide rate alone is 6 per hundred thousand residents (calculated from 1990 Crime in the United States and The 1990 Census of the Population). Homicide is the most common cause of death for both young African-American males and females. Young African American males are 11 times more likely to die from homicide than are young non African-American males. (American
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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) | 0.004 | 0.003 |
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".