Recent Developments in Crime Prevention and Safety Policies in Finland
Bibliographic record
Abstract
Finland's National Council for Crime Prevention (NCCP) was established in 1989. A national crime prevention program was adopted by the government in 1999. The program follows the "Nordic model" and includes a national coordinating and steering body that provides funding and advice to local crime prevention committees and projects. The Nordic model of crime prevention involves a strong affiliation to areas outside the justice system and strikes a balance between social and situational crime prevention. A member since 2001 of the European Crime Prevention Network (EUCPN), the NCCP selects projects to be presented at the EUCPN's annual Good Practice Conferences as well as competing for the annual European Crime Prevention Awards. The overt politicization of crime policy issues may cause some rethinking. The Nordic model may need to be complemented by other approaches, such as early intervention, other methods of social crime prevention, and a growing emphasis on creating networks, cooperation, and partnerships with many different actors with a stake in preventing crime.
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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 | 0.005 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.005 | 0.008 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 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".