Walking-wit(h)nessing: propositions for walking with waste landscapes in early childhood education
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
This paper takes walking-based research in early childhood education as a propositional space, one grounded in reconsidering witnessing as a practice attuned to co-emergence in waste landscapes. I draw from Ettinger’s (2001) and Boscacci’s (2018) word-concept wit(h)nessing to stake out some possibilities for walking-wit(h)nessing as an affective, relational practice for pedagogical responses to child-waste subjectivities in the ongoing global waste crisis. In doing so, I am careful to frame walking alongside waste landscapes as an invitational move towards resisting passive observation, one that refuses to extricate children, educators, and researchers from living-and-becoming with waste. I conclude by offering three propositions for walking-wit(h)nessing waste landscapes that open towards walking practices that embrace the tensions of waste and human/more-than-human enmeshment for enacting pedagogies that confront and counter status quo waste logics of invisibility, the problematics of scale, and solvability.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it