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
Scholars are critical of how economists overlook “the questions of genocide,” and of how legislatures have not paid adequate attention to the subject of looting, except in the case of the Armenian genocide. This article, informed by interdisciplinary perspectives, uses government documents, data, and semi-structured interviews to discuss the overlooked triangle of looting, economics, and the Anfal genocide of the Kurds in Iraq. The study refuses to limit itself only to the eight stages of the Anfal genocide that started in 1988, and instead offers data on its preliminary phases which occurred earlier in the 1980s. It then discusses the multidimensional political economy of the Anfal genocide and argues that (a) the legalized plundering of spoils of war by the Ba’ath regime served as a political economic strategy to justify the Anfal genocide; (b) Saddam Hussein utilized economic prospect theory—putting a higher emphasis on imagined gains than on losses—by maximizing revenue and minimizing the cost of the genocide; and (c) Saddam’s use of symbolic religious names and Qur’an verses did not demonstrate his religious commitment, but rather aimed to foster and restore the cultural legacy of looting among ordinary people. The article focuses on rewards, in the form of economic capital earned from looting and confiscations, as goals that aided the effective execution of the Anfal genocide and promoted divisions within urban Kurdish society but that failed to deracinate Kurdish resistance culture.
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 | 0.001 | 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