Is the COVID-19 Pandemic a Critical Juncture? Insight from the Study of “New” Multilingual Governance Techniques
Bibliographic record
Abstract
Abstract Is the COVID-19 pandemic a critical juncture? An emerging social scientific scholarship on the COVID-19 pandemic has set out to study its effects on a range of social, political, and economic phenomena. Some of this scholarship theorizes that the COVID-19 pandemic is one of those rarest and most impactful moments in time, what historical institutionalists would call a “critical juncture”. This article tests a COVID-19 critical juncture hypothesis by conducting a theory-infirming case study of recent multilingual developments in the United States. Process tracing of federal and state multilingual trajectories reveal that two of the hypothesis’ observable implications are absent: there is no evidence of radical institutional change and ostensibly “new” multilingual pathways were in fact established prior to the pandemic. In light of this evidence, the article concludes by discussing alternative understandings of COVID-19’s effects and this might mean for the study of the pandemic moving forward.
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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 | 0.018 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.016 | 0.065 |
| Scholarly communication | 0.010 | 0.013 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".