Part III: Introduction: The boundaries between the inside and outside worlds
Bibliographic record
Abstract
In Part III research from across Europe and Canada explores the challenges faced at the boundaries of prison institutions, namely points of interaction with the outside world and prisoners’ experiences of the process of release from prison and re-entry into the community. Tensions between prison and outside identities, cultures and expectations, as well as the impacts this may have on prisoners and staff are considered. Often how the re-entry process is experienced by (ex)prisoners is neglected in favour of evaluations of the measurable success of interventions to achieve outcomes such as successful programme completions, referrals to other services, gaining housing, employment or training. However, modern desistance theory emphasises the need to actively engage with prisoners and their personal emotional journeys of change in order to successfully support them to re-enter, reintegrate and settle into communities (see Healy 2014; Maruna 2001). However, the concepts of re-entry, resettlement, reintegration and desistance need to be defined in order to appreciate the realities explored in this part of the book.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.024 | 0.010 |
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".