Bibliographic record
Abstract
Alternatives to unconditional sentence of imprisonment ABSTRACT This master's thesis deals with the topic of alternatives to unconditional sentence of imprisonment. The aim of the thesis is to evaluate advantages and disadvantages of alternatives to unconditional sentence of imprisonment, carry out a critical analysis of its legislation and provide own de lege ferenda proposals. Throughout the whole paper, comparative method is widely used. The Czech legislation is compared not only to the legislation of (central) European states, but to the legislation of the United Kingdom, Canada and the United States as well. The paper is divided into nine chapters in total. The first three chapters provide an excursion to the problematics of the term punishment and its purpose, alternative measures and (predominantly) critical analysis of unconditional sentence of imprisonment. Chapters four to seven analyse individual means of alternative sentences, i.e. house arrest, community service, fine and (supervised) conditional sentence of imprisonment. Each of these chapters is build up on the basis of a uniform model. Within single chapters, every type of punishment is analysed from the point of view of its essence and historical development, imposition and exercise of punishment, conversion of sentence into unconditional...
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".