<i>Homo interfector</i>. Norman Cohn and the Origin of the Montreal Institute for Genocide and Human Rights Studies (1979–90)
Bibliographic record
Abstract
The Montreal Institute for Genocide and Human Rights Studies, based at Concordia University in Montreal, is Canada’s leading research institute and advocacy centre for the study of conflicts, mass atrocity, genocide, and human rights. Nowadays, its featured tasks range from mapping prejudices and hatred online, elaborating new strategies to prevent disinformation or fake news, to defending human lives and strengthening democracy in the whole world. The centre hosts several conferences and workshops every year in order to help politicians, diplomats, academics, experts, soldiers, stakeholders, and general public counter extremism in all its forms. The history of this institution is deeply rooted in the attempt to study conflicts and violence following a comparative, interdisciplinary — chiefly historical and, in some ways, socio-psycho-historical — approach which emerge from the work of the British historian Norman Rufus Colin Cohn (1915–2007) and his Centre for Research in Collective Psychopathology (1962–80). This article deals with the hitherto unexplored contribution of Cohn, his studies on antisemitism and witch hunt in the creation of the Montreal Institute for Genocide and Human Rights Studies.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 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".