Teaching with the Virus: Sociomaterial Assemblages and the Production of Schooling During COVID-19
Bibliographic record
Abstract
Using new materiality theory, we analyzed teachers’ and administrators’ descriptions of educational practices and everyday life in schools during the first year of the COVID-19 pandemic. During this time, the virus and the Provincial Health Authority were agential parts of classrooms that both restricted pedagogical possibilities, as well as created openings for something new to occur. As educators taught “with the virus,” pedagogy and curriculum unfolded rhizomatically shooting off in different and often unexpected directions. Our research makes visible how teaching is always a co-creative act of participating with the material, affective, and relational landscapes of practice. Keywords: pedagogy; COVID-19; sociomaterial assemblages; new materiality; K–12 schooling En utilisant la théorie de la nouvelle matérialité, nous avons analysé les descriptions faites par les enseignants et les administrateurs des pratiques éducatives et de la vie quotidienne dans les écoles au cours de la première année de la pandémie de COVID-19. Pendant cette période, le virus et l'autorité provinciale de santé ont fait partie intégrante des salles de classe, restreignant les possibilités pédagogiques tout en créant des ouvertures pour l’émergence de quelque chose de nouveau. Alors que les éducateurs enseignaient "avec le virus", la pédagogie et le programme scolaire se sont développés comme des rhizomes en prenant des directions différentes et souvent inattendues. Notre recherche met en évidence le fait que l'enseignement est toujours un acte cocréatif de participation avec les paysages matériels, affectifs et relationnels de la pratique. Mots clés : pédagogie ; COVID-19 ; assemblages sociomatériels ; nouvelle matérialité ; scolarité M-12
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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 | 0.007 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.013 | 0.032 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.001 | 0.013 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".