Bibliographic record
Abstract
In 2006 rising numbers of older offenders represent a significant strategic issue for prisons in the United Kingdom, Canada and the United States. A statistical analysis of the number of older prisoners in Australia reveals similar trends. For the purpose of this research 'ageing prisoner' means a man or women aged 45 or above. This thesis seeks to contribute to an understanding of what it means to age in prison, and explores ageing in the context of population demographics, Aboriginality, ethnicity, social class, gender, deviance, and the 'positive ageing' concepts that inform twenty-first century discourse. A discussion on the concept of 'ageing in place' in the prison environment draws on national and international literature to identify the experiences of older prisoners, and highlight the emerging challenges for prison administrators. This thesis involved an extensive analysis of prison statistics from Tasmania, Victoria, South Australia and New Zealand. It provides an extended discussion of the dynamics and challenges of ageing in prison and concludes with a synopsis of the issues confronting service provision and prison processes in the light of the offence profiles and special needs of older inmates.
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 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".