Bibliographic record
Abstract
Contents: Part I: Introduction and overview: the study of new regionalisms at the start of the second decade of the 21st century, Timothy M. Shaw, J. Andrew Grant and Scarlett Cornelissen Comparing regionalisms: methodological aspects and considerations, Philippe De Lombaerde Formal and informal regionalism, Frederick Soderbaum The rise of interregionalisms: the case of the European Union's relations with East Asia, Bart Gaens. Part II: The European Union: a new form of governance, Alberta Sbragia Regionalism in flux: politics, economics and security in the North American region, Laura Macdonald Norms, identity and divergent paths toward regional order in South and Southeast Asia: ASEAN and SAARC in comparative perspective, Charan Rainford China and economic regionalism in East Asia, Kevin G. Cai Hemispheric regionalism in the Americas, Gordon Mace and Dominic Migneault The changing context of regionalism and regionalisation in the Americas: Mercosur and beyond, Marc Schelhase The evolution of the African Union Commission and Africrats: drivers of African regionalisms, Thomas Kwasi Tieku The 'new' ECOWAS: implications for the study of regional integration, Okechukwu C. Iheduru Regional organisation, regional arena: the SADC in Southern Africa, Ulrike Lorenz and Scarlett Cornelissen. Part III: Oceania: a critical regionalism challenging the foreign definition of Pacific identities in pursuit of decolonized destinies, Kate Stone Middle East Regionalisms: can an institution bridge geo-culture to geo-economics?, Bahgat Korany Beyond geography: BRIC/SAM and the new contours of regionalism, Agata Antkiewicz and Andrew F. Cooper Commonwealths and regionalisms in the first quarter of the 21st century , Timothy M. Shaw Spatial development initiatives: two case studies from southern Africa, Ian C. Taylor The transnational gang: challenging the conventional narrative, Robert Muggah Transfrontier conservation and the spaces of regionalisms, Maano Ramutsindela New regionalisms, micro-regionalisms, and the migration-conflict nexus: evidence from natural resource sectors in West Africa, J. Andrew Grant, Matthew I. Mitchell, and Frank K. Nyame List of websites Indexes.
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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.011 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.020 | 0.013 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.356 | 0.150 |
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".