Deconstructing the Experience of the Local: Toward a Radical Pedagogy of Place
Bibliographic record
Abstract
More than a decade ago, David Orr wrote that “other than as a collection of buildings where learning is supposed to occur, place has no particular standing in contemporary education.” Michael Peters agreed that “modern educational theory has all but ignored questions of space, of geography, of architecture.” Under the influence of a “renaissance” of space in social theory, however, space and place are no longer absent from educational theory, nor, increasingly, from educational practice. With the deconstruction of the mind/body binary, the precedence of temporality over spatiality has waned; the embodied mind undeniably exists in space as well as time. “Space is now more and more seen as having been under-theorised and marginalised in relation to the modernist emphasis on time and history” (PSB, 41). But with increased physical and virtual mobility, the concept of “space” itself has been reconfigured. Concepts such as cyberspace, nomadism, and hybridity have been introduced, and — to draw on the influential metaphor of the network — emphasis has shifted from the stable nodes (places) in the network to the vectors (flows) between shifting nodes.
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.
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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.007 | 0.074 |
| Scholarly communication | 0.007 | 0.012 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 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".