European Union communities of practice: diplomacy and boundary work in Ukraine
Bibliographic record
Abstract
In this book, Maren Hofius embarks on the ambitious task of reimagining International Relations (IR) practice theory, community and the European Union. She suggests a theory of how international communities are possible despite heterogeneity, internal differences and a weak sense of ‘we’. The book starts with a compelling critique of normative and functionalist concepts of community that are common in the IR literature. According to the author, these overlook the deep-seated practices and underpinnings that structure communities. Hofius offers a corrective lens and argues that communities should be understood as a dynamic layer of communities of practice. She conceives the latter as a ‘context within which modes of belonging … are negotiated through the enactment and reification of shared practices’ (p. 6). Mutual engagement, the negotiation of a joint enterprise and a repertoire of shared resources, which characterize communities of practice, enable the emergence of a shared identity notwithstanding cultural and national diversity.
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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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.005 | 0.008 |
| Scholarly communication | 0.010 | 0.008 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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".