Collective Memory and Problems of Scale in International Relations
Bibliographic record
Abstract
Abstract International relations (IR) scholars are increasingly interested in the role of memory in world politics. In this paper, we examine a key tension in the uptake of memory in IR between its status as a topic studied within IR and its use as an optic through which the basic categories of IR might be rethought. Focusing on the problem of scales of analysis, central within memory studies more broadly, we suggest that while memory poses a challenge to typical scalar arrangements in IR, such as “levels” of analysis, memory is often studied within these very arrangements. We argue that this is significant because questions of scale are at times the central political problem at stake in international memory. We track this tension between topic and optic in studies of memory, national identity, and foreign policy; studies of collective trauma and sovereignty; and studies of conflict and cooperation over memory.
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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 | 0.011 | 0.025 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.004 | 0.042 |
| Scholarly communication | 0.010 | 0.016 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".