Panel Two: Armenian Genocide – Politics and Precedents
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
Moderator: Christian Axboe Nielsen (Aarhus University, Denmark) Edip Gölbaşı (Koç University Research Center for Anatolian Civilizations, Turkey and Simon Fraser University, Canada)The 1895-1896 Armenian Massacres in the Ottoman Eastern Provinces: A Prelude to Extermination or a Revolutionary Provocation?download paper (login required) Urban Jaksa (University of York, United Kingdom)Geopolitics of Genocide: Comparing the Ottoman and Russian Empires’ Ethnic Cleansing Policies against Armenians, Greeks, and Circassians in the Late 19th and Early 20th Centuriesdownload paper (login required) Varak Ketsamanian (University of Chicago)Genocide as a Colonial Tool: The Formation of the Armenian Legiondownload paper (login required) David Leupold (Humboldt University, Germany and Erasmus Mundus Grantee at Eurasian University, Armenia)Genocide Memorialization beyond the Ethno-National Divide: Bridging Memories of Armenians, Kurds and Turks in Van, Mush, and Sasun download paper (login required)
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 | 0.001 |
| 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