Double Jeopardy and Successive Prosecutions Based on the Same Prohibited Conduct: Equivalence of Approaches to Determining the Same Offence Dilemma in Comparative Perspective
Bibliographic record
Abstract
Post-acquittal retrials for substantially the same offence are possible in jurisdictions that have provided statutory modifications to the common law double jeopardy principle. The pleas in bar of prosecution, autrefois acquit (previously acquitted) and autrefois convict (previously convicted), are predicated on a final verdict of acquittal or conviction by a court of competent criminal jurisdiction for substantially the same offence. Differentiating similarities between the increasing volume of overlapping offences is the most litigated aspect of the double jeopardy principle. Seminal common law jurisdictions have adopted variations of the same elements approach that examines whether two or more offences arising out of the same prohibited conduct are the same based on an assessment of whether there is an element in one offence not in the comparable offence. Through doctrinal analysis of superior court jurisprudence in the Unites States, England and Wales, Canada, Australia and New Zealand, this article evaluates judicial formulations for determining the sameness of offences in comparative perspective. While the analysis is intrinsic to each jurisdiction, judicial formulations may nonetheless shed light on similar issues coming before courts of criminal justice in cognate jurisdictions.
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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 | 0.011 | 0.029 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.002 |
| Science and technology studies | 0.005 | 0.039 |
| Scholarly communication | 0.011 | 0.012 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 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".