Bibliographic record
Abstract
This paper examines how the pandemic emergency as a global challenge – the first of its kind since WWII – has activated what I call a ‘pandemic nationalism’ that was simultaneously both inclusionary and exclusionary. On one hand, the national community was re-defined in relation to their common fate (of facing the pandemic together because residing in the same territory) extending hence the boundaries of membership to temporary residents or those with precarious status. On the other hand, it became increasingly closed towards the exterior enhancing what has been labelled ‘vaccine nationalism’ and a sense of being in competition with other nations on a common, global public good (notably vaccines and cures addressing the virus). Closures and exclusions arose also internally against those minorities that were associated with the ‘external threat’ notably people of east Asian origin. At the face of these contradictory developments, the question arises whether we could consider the Covid-19 pandemic as a turning point that signals a new phase of development of nationalism. Such nationalism is meant to respond to the increasing challenges of globalisation by incorporating those who serve the community while Othering those who are perceived to threaten its well-being.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.007 | 0.006 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.018 | 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".