UniSAFE D3.2 Report on the European Policy Baseline
Bibliographic record
Abstract
The objective of this report is to establish a European baseline of policies in place to combat Gender-Based Violence (GBV) at the legal, policy level and the level of research funding organisations (RFO), as a fixed point of reference for future comparisons, by assessing existing laws and policies at the national and RFO levels in 27 countries in the EU. This is accompanied by analyses of four Associated Countries (Iceland, Serbia, Turkey, UK) and two Third Countries (Canada, USA) that were selected for comparison and as examples of existing practices. The analysis focuses specifically on dedicated legal and policy frameworks focused specifically on universities and research organisations, in order to map the special efforts made by national and regional authorities and RFOs to combat GBV at these specific institutions beyond generic anti-discrimination legislation and labour law protections.
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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 | 0.022 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.008 | 0.004 |
| Insufficient payload (model declined to judge) | 0.014 | 0.006 |
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".