Compensation for pain and suffering damages predicted for victims of sexual offenses:A statistical analysis
Bibliographic record
Abstract
In deze bijdrage wordt een samenvatting gegeven van het artikel 'The predictability of court-adjudicated compensation for pain and suffering damages within the criminal proceedings and the role of victim labels: A case study on victims of sexual crime in the Netherlands' dat dit jaar verscheen in het tijdschrift Criminology & Criminal Justice. Hiervoor is een empirisch-juridisch onderzoek uitgevoerd naar de voorspelbaarheid van smartengeld in Nederland. Een dergelijke studie is nationaal nog niet eerder verricht. Internationaal gezien is dit de eerste studie die specifiek kijkt naar slachtoffers van zedenmisdrijven binnen het strafproces, waarbij ook het effect van kenmerken van 'het ideale slachtoffer' op de bepaling van smartengeld is geanalyseerd. Daarmee is niet alleen onderzocht of immateriele schadevergoeding voorspeld kan worden, maar ook welke rol stereotyperingen over seksueel slachtofferschap hierin spelen.
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 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 | 0.007 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".