In Search of Lost Time: Memory‐framing, Bilateral Identity‐making, and European Security
Bibliographic record
Abstract
Abstract Bilateral relations between France and either Germany or the UK are the backbone of European security and defence cooperation. From a strategic and cultural point of view, these relations are not self‐evident. In this article, we track the memory‐framing processes accompanying the creation of major bilateral initiatives. Leaders such as Adenauer and De Gaulle, Mitterrand and Kohl, Blair and Chirac, and Sarkozy and Cameron imagined bilateral communities of fate informed by mutually understandable historical memories: the World Wars for the Franco‐German relationship and the Empire for the Franco‐British relationship. Based on these memory frames, Franco‐German identity undergirds a policy‐based integration of core state powers while Franco‐British identity informs capacity‐building and force projection (a resource‐based integration). These bilateral identities led to earmarking national military forces for common purposes and intertwined defence industries. In some cases, they also provided an impetus for EU cooperation in the context of the Common Foreign and Security Policy or the Common Security and Defence Policy.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.022 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.001 | 0.006 |
| 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".