Pacification Without Collective Identification: Russia and the Transatlantic Security Community in the Post-Cold War Era
Bibliographic record
Abstract
Abstract Does the emergence of a security community require a collective identity? This constitutive relationship has been hypothesized by prominent scholars from Deutsch to Adler & Barnett. Yet the Russian—Atlantic case shows that collective identification is not a necessary condition for a nascent security community to emerge. In less than two decades, the relationship between Russia and the transatlantic community has quickly transformed from a deep-seated rivalry structured by the specter of mutual assured destruction to a partnership in which the possibility of military confrontation has undeniably receded. Although bones of contention and power struggles continue to abound, empirical indicators attest to the emergence of a nascent Russian—Atlantic security community. But survey data also show that Russian and Western peoples do not meaningfully identify with one another. While the lack of we-ness certainly helps explain the striking instability of the post-Cold War rapprochement between Russia and the transatlantic community, it also recalls the need for constructivists to pay attention to other variables than mutual representations in the study of international peace. As a way forward, the article advocates a practice turn in the study of security communities: peace exists as a social fact when diplomacy becomes the self-evident practice among security elites to solve interstate disputes.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.011 | 0.011 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".