Climate moves: reaching for threshold knowledge one walk at a time
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Walking the Talk: Climate Moves is an interdisciplinary, intergenerational, intercultural collaboration of scholars and community stakeholders in Canada and the US that leverages walking as relational research and pedagogical method for action on climate. Walking the Talk turns to walking as a repeated, durational, embodied mode of learning, to help participants attune to local ecologies and reach for threshold knowledge of the interdependence between human, more-than-human, and ecosystem flourishing. This article, written midway through the pilot year, situates and reflects on learnings so far. Findings from the Kansas mirror lab show that regular walking cultivates relational connections, multispecies awareness, and embodied threshold concepts such as interdependence, with participants reporting increased ecological attunement, wellbeing, and recognition of walking itself as climate action. These insights suggest that walking methodologies are accessible, locally adaptable tools for cultural and organisational shifts towards climate justice.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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 it