The Reid Inter rogation Technique and False Confessions: A Time for Change
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The Reid Interrogation technique has been the dominant method used by police in the United States and Canada to interview suspects of crime. This method is commercially marketed to police departments and other law enforcement agencies with the promise that 80 percent of those interrogated will confess. However, there is growing evidence that the Reid technique results in a significant number of false confessions, especially among the young, the mentally impaired and those of low intelligence. Other countries, especially England have rejected the Reid technique in favor of other methods that work equally well in obtaining confessions but without the risk of false confessions. In the United States, too, there is growing suspicion of the Reid technique and other hard interrogation tactics such as those employed in interrogating suspected terrorists at Guantanamo and Abu Ghraib.\nThis paper suggests that widespread use of the Reid technique is a significant contributing factor in public distrust of the police, and fosters police attitudes that feed that dissatisfaction. Rejection of the Reid technique in favor of other methods is likely to improve police efficiency as well as help heal the growing rift between police personnel and the communities they serve.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.012 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it