Walking as applied critical practices: methodologies, pedagogies, and performances
Bibliographic record
Abstract
The dynamic relationships between walking, performance and performativity are long-standing, from psychogeographic drifts which trace capitalism's appropriations and productions of place, to protest marches which mobilize demands for justice; from ceremonial walks as memorialisations of place, to (mis)guided tours which rewrite partial histories; from attentive walking as ways of knowing and feeling differently, to technologically-enhanced walking performances that take the city as their stage. Across a number of years, Research in Drama Education has published a wide range of essays which focus on walking. Given the increasing visibility of walking as a field of practice and the vitality of interdisciplinary scholarship which centres walking, a dedicated edition on the subject felt overdue. As the pieces shared in this edition demonstrate, walking as a mobile, situated and relational method of applied critical practice harbours exploration, criticality, and activism.
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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 | 0.015 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".