Spatiality of the Stages of Genocide: The Armenian Case
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This article describes the construction of a historical GIS (HGIS) of the Armenian genocide and its application to study how the genocide unfolded spatially and temporally using stage models proposed by Gregory Stanton. The Kazarian manuscript provided a daily record of events related to the genocide during 1914-1923 and served as a primary source. Models outlining and describing the stages of genocide provide a structured and vetted approach to studying the spatial and temporal aspects of the genocidal process, especially genocide by attrition. This article links HGIS to a qualitative, historical source and describes the uncertainties that arise when mapping historical events. While the genocide literature is abundant in areas related to theory and practice, examples of explicitly spatial analyses are lacking. Our contribution aims at filling this gap.
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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 | 0.001 |
| 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 it