CONSTITUTIONAL RIGHTS IN THE BALANCE: MODERN EXCLUSIONARY RULES AND THE TOLERATION OF POLICE LAWLESSNESS IN THE SEARCH FOR TRUTH
Bibliographic record
Abstract
This article explores the tension in modern criminal procedure between the goal of ascertaining the material truth of the criminal charge and the respect for important human rights of criminal suspects during the investigation of their alleged criminal responsibility. It examines two major areas where police run the risk of violating and often do violate the constitutional rights of criminal suspects during interrogations and during invasions of privacy in the form of dwelling searches and interception of confidential communications. The approaches of modern democracies to this dilemma run from the strict exclusion of all direct and indirect evidence (fruits of the poisonous tree), whenever a substantial constitutional right is violated, to a discretionary approach, which balances various factors, including the need to ascertain the truth before deciding whether to use the evidence. The ambition of the article is to draw clear lines between when courts should exclude evidence and when discretion can reign.
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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 | 0.040 | 0.064 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.010 | 0.117 |
| Scholarly communication | 0.016 | 0.019 |
| Open science | 0.003 | 0.010 |
| Research integrity | 0.011 | 0.012 |
| 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".