Bibliographic record
Abstract
Patrick Glenn’s final writings on the idea and practice of the ‘cosmopolitan state’ might seem as something of a departure for the world-famous comparativist, but they are in fact strongly continuous with his earlier work, and all the more fascinating for that. For Glenn, comparative law was always a subject in part defined against itself. For it was as much an examination of what connects and integrates different legal doctrinal streams and systems as of what distinguishes and divides them. And so it was quite natural that he should finally come to study systematically the ever more powerful web of transnational and global connections and commonalities that make the contemporary state – in his words – ‘cosmopolitan’ rather than ‘national’. His investigation paints a powerful picture of a global cosmopolitan practice that, against the vision of stronger versions of cosmopolitanism, is not itself globally located; rather it is rooted in different state subsoils, linked together through a matrix of legal, institutional, and cultural factors. Yet the question arises how robust his confident defence of state-centred cosmopolitan attachments would be in the face of the very recent upsurge in a nativist populism for whom ‘cosmopolitanism’ is the pejorative label of choice.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.020 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.015 | 0.002 |
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".