Bibliographic record
Abstract
Abstract Global governance is widely viewed as in crisis. Deepening interdependence of cross‐border activity belies the relative absence of governance mechanisms capable of effectively tackling major global policy challenges. Scholars have an important role to play in understanding blockages and ways through. A first generation of global governance research made visible an increasingly complex and globalising reality beyond the interstate domain. A varied second generation of scholarship, spanning diverse subfields, has built upon this ‘signpost scholarship’ to generate insight into efforts to manage, bypass and even – potentially – transcend multilateral gridlock to address pressing transboundary problems. This article plots a course towards a ‘third generation’ of global governance research, serving to also introduce a special section which brings together leading scholars in the field of global governance, working across theoretical, analytical and issue‐area boundaries. This collaborative endeavour proposes to advance a convergence, already underway, across a theoretically and empirically rich existing scholarship, distinguished by a concern for the complexity of global public policy delivery.
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 | 0.043 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.007 | 0.005 |
| Science and technology studies | 0.006 | 0.049 |
| Scholarly communication | 0.029 | 0.029 |
| Open science | 0.004 | 0.020 |
| Research integrity | 0.010 | 0.014 |
| Insufficient payload (model declined to judge) | 0.010 | 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".