Corporate justice in Nederland:Particulier onderzoek naar, private afhandeling van en publiek-private contacten rondom interne financieel-economische criminaliteit
Bibliographic record
Abstract
In deze bijdrage staat het systeem van corporate justice centraal, dat veelvuldig wordt ingezet als reactie op (interne) financieel-economische criminaliteit. Corporate justice is een systeem dat parallel loopt aan het strafrechtelijke systeem, waarbinnen interne financieel-economische criminaliteit met hulp van particuliere onderzoekers wordt onderzocht en afgehandeld. Dit systeem staat echter niet op zichzelf en contacten met strafrechtelijke actoren kunnen op macro-, meso- en microniveau worden beschouwd. De betrokken actoren en hun activiteiten worden besproken, alsmede de publiek-private relaties tussen deze ‘corporate justice actoren’ en het strafrechtelijke systeem. De bijdrage wordt afgesloten met een kritische beschouwing ten aanzien van corporate justice, en het identificeren van belangrijke foci voor toekomstig empirisch onderzoek op dit gebied.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.000 |
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".