Education for social change and pragmatist theory: five features of educative environments designed for social change
Bibliographic record
Abstract
This paper establishes the basis for a pragmatist-inspired theory of human action to predominant ideas about knowledge, learning and education. As a necessary prelude to an examination of pragmatist theory’s position on human action and its specific focus on habits and creativity, pragmatism is defined and then related to inquiry. Next, the fields of adult education and social movement learning are explored for their continued resonance with the main educational tenets of pragmatism. Following this, a separate section on habits and creativity is offered to highlight a key relationship for the design of educative environments. Knowledge is addressed in a section that explains it as a carrier of routine and a bridge in the individual-collective nexus. The paper ends with five features of an educative environment designed for social change, each of which is identified in relation to the tenets of pragmatist theory.
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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 | 0.012 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.041 |
| Scholarly communication | 0.011 | 0.010 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.004 | 0.004 |
| 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".