Tracking attrition in reported rape cases in eleven countries Country briefing: AUSTRIA
Bibliographic record
Abstract
Funded by the European Commission Daphne II Programme to combat violence against children, young people and women 2Introduction Attrition – the process by which reported rape cases fail to reach trial – has become a critical research and policy issue. In virtually all countries where major studies have been published, substantial increases in reporting have not been matched by rises in prosecutions, resulting in a falling conviction rate. Whilst this pattern has been documented in two previous Daphne projects (Regan & Kelly, 2003), it was not universal across Europe. The central research question for the current study was to analyse the similarities and differences in attrition processes across 11 countries with varying judicial systems and socio-legal cultures; in this sense it is unique. Methodology The research design combined two strands: the first updated time series national level data on reporting, prosecution and conviction for 33 European countries for the years 2001-2007. The second had at its core a quantitative content analysis of 100 case files in Austria, Belgium,
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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 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".