Improv Walk: Nature Is a Part of Me
Bibliographic record
Abstract
In this article, we conceptualize nature as a participant in improvisation theatre education during the Covid-19 pandemic. As part of an arts colloquium that we held in the spring of 2022, the co-authors were asked to engage in an improvisation walk that was mediated via Zoom due to Covid-19. As we were unable to gather in a shared campus quad space, the co-authors were invited to go outside of their individual homes, take photos, record sounds, engage in filmmaking, and/or write as they ruminated on a writing prompt, “Nature is a part of me … ” As co-authors, we share our responses to spending time in these intimate places through poetry, prose, photography, and film. The animals, trees, and flowers initiated the improvisation, provoking the co-authors to respond. The resulting dialogue highlights personal connections, reflections, and ruminations on the effects of dwelling in nature during the years of the pandemic. Narratives reveal themes of care, symmetry and nature, identity, and transformative learning. Social identities such as neurodiversity, queerness, rurality, and Blackness surface in relation to the natural world. The conversance with nature is a pedagogical and caring experience.
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.020 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.005 |
| 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".