Bibliographic record
Abstract
‘Cosmopolitanism is back’, proclaimed David Harvey presciently in 2000 ( Harvey, 2000 : 529). In the face of injustice, inequality and violence emerging from globalization processes, the last decade has witnessed a cascading interest in the vision of a world community in which sameness and difference are harmoniously dealt with. Across the humanities and social sciences, there have emerged multiple ways of understanding what exactly cosmopolitanism means for research. To push this concept to greater rigour, scholars have tried to demarcate its conceptual boundaries by underlining its conjunctural nature ( Werbner, 2006 ). Thus we have such notions as rooted cosmopolitanism, working-class cosmopolitanism, discrepant cosmopolitanism, ethnic cosmopolitanism, and vernacular cosmopolitanism. Of all these conjunctural terms, subaltern cosmopolitanism has gained noteworthy attention of late. In one of her articles published in 2010 about the old baggage and missing luggage of cosmopolitan theory, for example, Glick Schiller claims that the possibilities of strengthening cosmopolitan theory lie in ‘a further development of a subaltern cosmopolitanism’ (2010: 414). In this Viewpoint, I will first present an overview of how subaltern cosmopolitanism has been deployed by scholars, and then evaluate its particular purchase in cosmopolitan studies, and finally suggest fortifying the critical sinew of this concept by drawing on conversations about other weighty issues that concern the humanities and social sciences of today.
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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.005 | 0.055 |
| Scholarly communication | 0.012 | 0.014 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.004 | 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".