Bibliographic record
Abstract
This paper elaborates a behaviour production cycle of the national interest. Drawing on the intellectual pluralism that characterized international relations theory in the 1980s, it clarifies relationships between the principle categories of regime theory on the one hand, and, on the other hand, a series of approaches of which some have fallen by the wayside or become conflated with other approaches (e.g. neorealism and neomercantilism are mutually distinguished and separately treated). So doing, it builds upon the author’s previous work, generalizing its underlying theoretical framework and building out from it so as to clarify its more general significance for international relations theory specifically. It considers, for example (to synthesize Krasner's six categories into an epistemology of discourse and action), that (1) usage and custom, recognized by (2) knowledge, become (3) established norms and principles or give rise to alternative ones, which (4) instrumental political power harnesses to the service of the (5) state's egoistic self-interest and rationalizes in terms of (6) cosmopolitan political power expressed as ideology) The paper clarifies two cycles in the production of national interest behaviour (including speech), one of which is scientific-realist, the other constructivist, and illustrates their interconnection.
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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".