Bibliographic record
Abstract
The India–Pakistan rivalry remains one of the most enduring and unresolved conflicts of our times. Begun in the aftermath of the birth of the two states from British colonial rule in 1947, it has continued for well over half a century with periodic wars and crises erupting between the two rivals. The conflict has affected all key dimensions of inter-state and societal relations of the two antagonists. Despite occasional peace overtures and periods of détente, it shows no signs of a permanent settlement in the near future. Since the late 1980s, the open acquisition of nuclear weapons by the two states, the increasing number of crises involving them, and the introduction of terrorist tactics into the conflict have led to the heightened possibility of a cataclysmic war breaking out in South Asia with unimaginable consequences. What explains the persistence of this rivalry even when some other long-running conflicts in different parts of the world have come to an end? Do existing theories of enduring rivalries provide compelling explanations for this ongoing conflict? Can the rivalry and its persistence be understood on the basis of factors at the international, societal, and decisionmaker levels of analysis? Is it the convergence of these factors that keeps the conflict enduring in nature? Why do the near- and medium-term prospects of negotiating an end to this enduring rivalry look bleak?
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 | 0.002 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".