Radical Flexibility and Relationality as Responses to Education in Times of Crisis
Bibliographic record
Abstract
As educational institutions negotiate numerous challenges resulting from the current pandemic, many are beginning to wonder what the future of education may look like. We contribute to this conversation by arguing for flexible education and considering how it can support better-more equitable, just, accessible, empowering, imaginative-educational futures. At a time of historical disorder and uncertainty, we argue that what we need is a sort of radical flexibility as a way to create life-sustaining education, not just for some, but for all, and not just for now, but far into the future. We argue that such an approach is relational, and centers justice and trust. Furthermore, we note that radical flexibility is systemic and hopeful, and requires wide-ranging changes in practices in addition to the application of new technologies.
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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 | 0.015 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.016 | 0.098 |
| Scholarly communication | 0.017 | 0.018 |
| Open science | 0.002 | 0.022 |
| Research integrity | 0.006 | 0.008 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".