Roma At Risk Policy Brief for The All-Party Parliamentary Group for the Prevention of Genocide and Other Crimes Against Humanity Executive Summary
Bibliographic record
Abstract
With the Hungarian Parliamentary Elections slated for the Spring of 2014, it is likely that Hungary’s Roma community will become increasingly at risk of racially-based ethnic violence. This policy brief recommends that the All-Party Parliamentary Group for the Prevention of Genocide and Other Crimes Against Humanity approach the Government of Canada with recommendations that respond to these worrisome trends. A number of short-term policy options are provided, in addition to a number of long-term policy recommendations that would help further address the structural issues of the Roma at risk in Hungary. Roma in Europe have historically been marginalized from mainstream society, and frequently been the victims of hate crimes and violent repression. The recent economic recession in Europe has exacerbated these racial prejudices and hatreds, with Roma communities in Hungary proving to be particularly susceptible to racially-motivated violence. The rapid growth of Hungarian nationalist extremist groups that openly incite racial hatred against Roma is particularly worrisome, as these groups have gained a foothold in mainstream Hungarian politics.
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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 | 0.009 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.004 | 0.004 |
| Research integrity | 0.032 | 0.013 |
| Insufficient payload (model declined to judge) | 0.057 | 0.029 |
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".