Empire-Building, Imperial Policies, and Famine in Occupied Territories and Colonies
Bibliographic record
Abstract
The introductory article to the special issue “Empire, Colonialism, and Famine in the Nineteenth and Twentieth Centuries” begins by pointing to some recent literature on famine theory, where stress has been made on responses of authorities to famine and on the political nature of modern famines. Literature on the connection between imperial policies, colonial rule, and famines is also briefly discussed. The Soviet Union is treated as an empire in the essay, and some of the literature on this question is also surveyed. The article then offers summaries of and highlights from essays in this volume that resulted from papers presented at two conferences on the theme “Empires and Famines in Comparative Historical Perspective,” held in 2016 in Toronto and in 2017 in Kyiv. These include papers on famine and food policies during World War II in occupied Ukraine and Moldova. Essays on famines in Soviet Ukraine, British-ruled Ireland, and British-ruled Bengal, India, are summarized as well as an essay on Raphaël Lemkin’s views on genocide and famine and an essay that looked at minorities in Mao’s China during the 1958-62 famine. The essay concludes with the observation that the investigation of imperial policies, colonial rule, and famine should be pursued further, especially in the case of the Soviet Union where this line of research is just beginning.
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.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.007 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".