Genocide by Other Means: Heritage Destruction, National Narratives, and the Azeri Assault on the Indigenous Armenians of Karabakh
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
The propaganda efforts of the authoritarian Aliyev regime in Baku and the general Western ignorance of the history of the South Caucasus have contributed to the lack of meaningful response to the genocidal aggression that Azerbaijan has inflicted on the indigenous Armenians of Artsakh, known to many as Nagorno-Karabakh. The humanitarian crisis created by the Azeri blockade of the Lachin Corridor is only the most recent step in a process of cleansing the region of its Armenian population, a process that began in the early years of the twentieth century. The Ottoman Turkish genocide of Armenians in 1915–1923 is not a distinct event of the past but a process whose ideology is central to the Azeri-Turkish genocidal violence perpetrated against Armenians in the present. An integral component of the processes of genocide is cultural heritage destruction as noted by Raphael Lemkin. The erasure of most signs of the indigenous Armenian presence on its historic homeland was particularly pronounced in the decades following the Armenian Genocide and continues today. Cultural erasure went hand in hand with Turkish state genocide denial and the rewriting and mythologizing of its national narrative. Azerbaijan has been following a similar playbook since the collapse of the Soviet Union. These genocidal processes of denial, heritage destruction, and the rewriting of history are what I describe as “genocide by other means.”
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 | 0.002 | 0.001 |
| 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 it