PRIMJENA DIVERZIONIH MJERA PREMAMALOLJETNIM UČINITELJIMA OD STRANEPOLICIJSKIH SLUŽBENIKA U BOSANSKO-HERCEGOVAČKOM I UPOREDNOM PRAVU
Bibliographic record
Abstract
In this article, the authors discuss the legal nature, types and most significant be- nefits of the application of alternative (diversion) measures for juvenile offenders. Particular attention is given to diversion measures imposed by police officers. In this respect, such measures have been analyzed in relevant legislation and practice in England and Wales, the Republic of Ireland, Canada and Bosnia and Herzegovina. It was found out that police diversion measures against minors are applied much more often in the mentioned countries of the Anglo-American legal tradition than in Bo- snia and Herzegovina. The reasons for this should be found in the fact that the laws of these countries know more types of these measures, and that the legal possibilities of their application are much wider compared to the juvenile criminal legislation in Bosnia and Herzegovina.
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How this classification was reachedexpand
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.006 |
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; both teacher heads agree on what is shown here.
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".