Denial of the Armenian Genocide 100 Years Later: The New Practitioners and Their Trade
Bibliographic record
Abstract
This essay assesses the several phases of denial from the time of the 1915 Armenian Genocide to the present, with emphasis on the most recent stage and contemporary deniers in the United States. The study analyzes their arguments and approaches, with particular attention on negationist assertions relating to intent and the claimed necessity of counterinsurgency measures against the Armenian population of the Ottoman Empire. It gives numerous examples of the factual errors and fallacies in the rationalizations that are employed. Modern denial is characterized by increased sophistication, which can include the use of seemingly sound research methods and critical-thinking techniques. Because it can look to be legitimate scholarship, denial in this form can be particularly deceptive for students and others who might not be well informed about the historical facts and extensive evidence of the Armenian Genocide. The essay concludes with a reflection on the need for strong peer-evaluation standards for journals and presses to avoid publication of denialist material.
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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 | 0.008 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.011 | 0.031 |
| Scholarly communication | 0.011 | 0.010 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.005 | 0.012 |
| Insufficient payload (model declined to judge) | 0.004 | 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".