Schooling the pandemic: Education after the event
Bibliographic record
Abstract
Many scholars continue to ponder whether, amidst its devastating consequences, the recent pandemic could create possibilities for a different kind of educational world. As the virus addressed educators in unexpected ways it also pointed toward what is broken in education—its neoliberal enclosure, developmental violence and institutional self-evidence—and the failure to imagine and enact new ways of being and living with the world. In this paper we examine the promise and possibility of educational transformation in these viral times. Drawing on Badiou’s theory of the event and conversations with elementary school teachers, we trace the dynamic of teachers’ experiences during the pandemic and examine the aporetic tensions that characterized their professional lives. Overall, the regulatory climate created during COVID-19 succeeded in neutralizing the new present that COVID-19 introduced, retaining, for the most part, an ongoing but excessive normalcy. However, for some teachers the pandemic became an opportunity to glimpse something unforeseen.
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How this classification was reachedexpand
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) | 0.000 | 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 teacher head, 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".