Toward a New Regulation on the Exclusionary Rule. What Can Mexico Learn from American and Canadian Experiences?
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
For over a century, U.S. debate surrounding the Exclusionary Rule has centered on questions such as if it inevitably allows criminals to go free, if the victims suffer due to police misconduct, or if the rule’s scope has narrowed over time. The rule’s primary objective has been to deter police misconduct. In Canada, discussions have focused on the necessity of conducting a discretionary analysis to determine the admissibility of unconstitutionally obtained evidence, especially since Canada’s Charter of Rights and Freedoms publication in 1982. Mexico’s debate on the issue began in 2008, and its version of the rule aims to guarantee more rights for the accused; however, it remains subject to legal interpretation and hasn’t been able to effectively reduce police misconduct. This article provides a brief comparison of the Exclusionary Rule’s-related regulation in the three neighboring countries. It suggests that Mexico should consider its northern neighbors common law legal history and pursue substantive changes to the National Criminal Procedures Code. These should directly address illegal evidence’s prohibition and any exceptions to the rule that may exist.
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 | 0.001 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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