Inter-faith dialogue and policing in a multicultural society and the conspiracy of Eurabia/Diálogo entre fe y policía en una sociedad multicultural y la conspiración de Eurabia
Bibliographic record
Abstract
En las sociedades multiculturales como Canadá, Estados Unidos de América o Europa, el problema de delitos de odio o por intolerancia racial han ganado interés dentro del sistema de justicia criminal, científicos sociales, defensores de los Derechos Humanos y los medios de comunicación. Para lograr prevenir estos tipos de delitos en una ciudad en donde las distintas posturas religiosas convergen, es importante tratar de conocer el diferente enfoque que cada uno le otorga a su religión para así crear puentes entre los diálogos y generar por consecuencia una mayor tolerancia a las otras formas de pensar. \n \nIn multicultural societies such as Canada, United States or Europe, the problem of hate crimes or racial intolerance have gained interest within the system of criminal justice, social scientists and defenders of human rights and the media. To prevent these types of crime in a city where the different religious positions converge, it is important to know the different approach that each gives their religion to create bridges between the dialogues and consequently generate greater tolerance to other forms of thinking.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.024 | 0.032 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".