Diagnostyka sądowo-kryminalna w orzekaniu i wykonywaniu warunkowego przedterminowego zwolnienia w teorii i praktyce sądowej – raport z badania
Bibliographic record
Abstract
This paper summarises the research project titled ‘Criminal court diagnostics in granting parole and releasing on parole in judicial theory and practice’ implemented by the Institute of Justice. The aim of the project, including in particular the empirical study it comprised, was (among others) to validate the statement that the work of administrative staff of penitentiary establishments and penitentiary courts is lacking in terms of professional and in-depth criminological prognosis. The empirical study involved an analysis of 540 cases from the second quarter of 2013, in which cases inmates’ applications for parole were granted. One of the findings from the study was that the courts’ statements of reasons for decisions to grant parole (which seem to reflect the process whereby the court reaches the conclusion that it is justified to grant the given person parole) were inadequate (especially in the light of requirements provided for in Article 77(1) of the Criminal Code). This observation holds true for a large number of decisions.
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.
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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".