Gambling in Detention: A Source of Violence?
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Although the prison subculture encourages solidarity and mutual support, this does not suffice to control all behaviors inside the walls, since physical and verbal aggressions still occur between inmates. Gambling in prison leads to certain frictions, such as quarrels or threats. However, these frictions are better explained by the characteristics of the prison environment. The real problem would not lie necessarily in the inmates' gambling habits, but rather in the tensions that exist inside the walls and that influence their behaviors. That being said, conflicts similar to those associated with gambling have been observed in other, non-betting, leisure activities. This is notably what emerged from the analysis of 51 interviews conducted with male inmates in three federal penitentiaries in Quebec. This article takes a dynamic look at the physical and verbal aggressions surrounding gambling and puts them into perspective with the reality of the prison environment.
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.
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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it