The social economy as produced space: the ‘here and now’ of education in constructing alternatives
Bibliographic record
Abstract
This article approaches adult learning within the social economy through a critical and spatial lens. First, I approach the critical pedagogy of Freire, outlining the dialectical relationship between subjectivity and objectivity enacted in the development of critical consciousness. Carrying this dialogical argumentative forward, I go on to show how the critical geography of Lefebvre ‘unpacks’ this dialectic onto space and place, grounding pedagogical apprehension in a critical geography which is more directly set up to confront and engage with capitalism as a spatial force. Drawing from some of the social enterprise literature, I then utilise Lefebvre’s ‘spatial triad’ to demonstrate how the perceived, conceived and lived facets of space can shed light on integrative areas of adult learning that together constitute a platform for a potential ‘trial by space’ for alternatives.
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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 | 0.008 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.066 |
| Scholarly communication | 0.011 | 0.025 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 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".