Bibliographic record
Abstract
With the noble aims of conflict resolution and peace building, Lawrence G.Potter and Gary G. Sick have compiled an excellent collection of essays on“the war without winners” (p. 2). This remarkable publication, Iran, Iraq,and the Legacies of War, adds to Potter and Sick’s series of co-edited bookson Middle Eastern issues, namely, The Persian Gulf at the Millennium:Essays in Politics, Economy, Security, and Religion (Palgrave Macmillan:1997) and Security in the Persian Gulf: Origins, Obstacles, and the Searchfor Consensus (Palgrave Macmillan: 2002). Potter and Sick are two prominentscholars of international affairs at Columbia University. During theCarter presidency, Sick served as the principal White House aide for Iran onthe National Security Council. (Sick is well-known for his exposé All FallDown: America’s Tragic Encounter with Iran [Random House: 1985]).This 224-page book was written in the cautiously hopeful belief thatthe time has come for reconciliation to begin. It contains nine chapters plusPotter and Sick’s helpful introduction, which contextualizes the futile warthat shook the world. The Iran-Iraq war was one of the longest and costliestconventional wars of the twentieth century. Although the number ofcasualties is still in dispute, an estimated 400,000 were killed and perhaps700,000 were wounded on both sides (p. 2). The Economist commentedthat “this was a war that should never have been fought … neither sidegained a thing, except the saving of its own regime. And neither regime wasworth the sacrifice” (p. 2) ...
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.008 | 0.007 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".