Reflections from accused: Advice on navigating life on bail
Bibliographic record
Abstract
Abstract Accused individuals employ various techniques in response to the challenges posed by living with bail conditions. By asking ‘what advice would you give to an accused individual who must appear in bail court and who will be assigned conditional bail’, this study assesses how individuals navigate release on bail in the community. A thematic analysis of interviews with 108 accused yielded three master themes: ‘abiding by the system’; a ‘broken system’; and ‘working the system’. The findings add to current research by identifying points of similarity, but also difference, in how common discourses used by bail court actors and bail scholars – including responsibilisation, self‐governance, and accountability – are responded to by accused. The results reveal how individuals accused of a crime find ways to assume a more advantageous position within a system largely perceived as working against them.
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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 | 0.007 | 0.038 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.021 | 0.021 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.007 | 0.016 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".