Bibliographic record
Abstract
Using striking examples of imprisonment in different continents and cultures Prisons of the World raises fundamental questions about the manner in which governments and societies (mis)use prison as a response to a wide range of fundamental social, economic and political issues. It describes the mistreatment of women prisoners in North America and the United Kingdom and of elderly prisoners in Japan, the intractable influence of gangs in Latin America, the legacy of colonialism in South Africa and the Caribbean and the continuing influence of the Gulag system in many countries of the former Soviet Union. The book discusses the work of international bodies such as the Committee for the Prevention of Torture in Europe, the involvement of the Inter American Court of Human Rights in the Caribbean and of court interventions in respect of the excessive use of solitary confinement in Canada and the United States. There is also a description of the author’s involvement in a unique instance of prison monitoring to resolve a violent dispute between Israel and the Palestinian Authority. The book concludes by offering some positive pointers for the future. In the medium term many of the resources which are currently invested in the demand led imprisonment industry could be transferred to initiatives such as those which are known as Justice Reinvestment and in the longer term radical change could be achieved through use of the Human Development model.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 0.002 |
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".