Bibliographic record
Abstract
When Mirandizing a suspect, officers sometimes compare the Mirandizing process to their representation on TV. In doing so, officers assume the suspect (and more generally the American public) is familiar with, and understands, their Miranda warnings due to their dissemination on TV. Thus, this paper investigates how the Mirandizing process is presented on TV. An analysis of arrests and custodial interviews on Law & Order: SVU indicates that fictional suspects are rarely adequately Mirandized; they are either not Mirandized at all or are provided a partial version. Moreover, suspects on TV are found to attempt to explicitly invoke their rights only 11% of the time, of which there is about a 50–50 chance of the attempted invocation being successful. In 23% of the time, legal representation appears without any language from the suspect showing them invoking their rights. Attempted and implied invocations on TV are primarily made by persons guilty of the crime they are being accused of, and innocent suspects primarily waive their rights, reinforcing a popular belief that guilty people invoke their rights and innocent people waive them.
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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 | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".