"Judaism Intertwines with Worldly Good": A Qualitative Study on Religious Rehabilitation Programs in the Israeli Prison Service
Bibliographic record
Abstract
Background: Religion with its religious institutions has played a key role in shaping punishment and rehabilitation of offenders throughout history. The aim of these programs is to transform a person spiritually and lead them to intra-personal changes on the religious level by prompting repentance or the reaffirmation of one's faith. Objectives: We present qualitative findings from an evaluation of two religious programs operating in the Israeli Prison Service: The Torah Rehabilitation Program (TRP) that functions as a religious community within prison walls, and the Torah Study Program (TSP) in which prisoners participate faith-based studies four hours a day. The main research question that led the researchers was how Judaism provides opportunities for prisoner’s rehabilitation. Method: This research is a qualitative study that includes seven interviews with seven Rabbis who work in the Israeli Prison Service and lead the religious programs. The interviewees were involved in the formulation and implementation of the religious correctional programs. Results: The interviewees have raised a link between Jewish beliefs and practices, including atonement, and the foundations of prisoners’ rehabilitation. Among the themes that have been raised: promoting moral action; giving prisoners a second chance; providing opportunities for repentance and atonement; supervision; placing emphasis on behavioral norms; focusing on belonging and commitment to a community; working alongside Torah; learning and providing a unique response to each individual according to their characteristics and needs. Conclusions: The emerging themes raised in the interviews correspond well with theoretical ideas found in the field of corrections in general and in positive criminology in particular
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 | 0.013 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.017 | 0.014 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.002 | 0.005 |
| 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".