Bibliographic record
Abstract
probation legislation, 176 Agonistic politics, 193 Alternatives to prison, 150 An Act Permitting the Conditional Release of First Offenders in Certain Cases, 176 Anti-Black racism, 129, 132 Anti-social behaviour, 80 Australian Capital Territory (ACT), 196 Australian Labor Party (ALP), 200 Australian research into community sanctions, 194-195 Automation, 20 Conditional sentence with court-controlled drug programme, 60-62 with programme for driving under influence, 62 Consolidation, 105 Control, 34 Conveyer-belt model, 167 Counter-visual approaches, 193 COVID-19 release, 46-47 Crime and Punishment (Scotland) Act (1997), 83 Crime control model, 167 Crime rates, 4, 111 Criminal justice, 18 Criminal justice system (CJS), 32-33, 36 Criminal law, 37 Criminal Procedure (Scotland) Act (1995), 83 Criminal Procedure Act, 62 Criminal procedure code, 45 Criminal punishment, 20 Curfews, 177
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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.011 | 0.007 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.842 | 0.845 |
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".