Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 it