Rewilding Education in Troubled Times; or, Getting Back to the Wrong Post-Nature
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
The first part of this paper provides a series of conceptual critiques to illustrate how the recent move to inaugurate a “post-nature” world works to vindicate anthropocentric perspectives and a techno-managerial approach to the environmental crisis. We contend with this premise and suggest that troubling nature has profound implications for education. In the second part, we provide case studies from nature-based programs in The Netherlands and Canada to demonstrate how anthropocentric thinking can be reinscribed even as we work towards “sustainability.” Despite the tenacity of human hubris and the advent of the Anthropocene, we suggest these troubled times are also rich with emerging “post-anthropocentric” perspectives and practices. As such we offer “rewilding” as a means to think about education that moves beyond the romantic vestiges of “Nature” without lapsing into delusions of human exceptionalism.
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 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.002 |
| 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 it