Reflections on Knowledge, Learning and Social Movements: History's Schools
Bibliographic record
Abstract
While the study of social movement learning as a subfield of adult education has grown rapidly in the last three decades, this is the first book to make social movement histories the explicit site of learning. This is perhaps surprising, since adult educators have always taught that adults learn from their own experiences" and if this is true of individuals, why should it not also be true of collectivities? In the 1990s, Canada's preeminent adult education historian Mike Welton commented that most adult education scholars were not much interested in the history of their field. Moreover, the histories that had been written traced only the antecedents of the more mainstream forms of the discipline, ignoring the contested nature of this history and account of its more radical variants, such as the work of the Plebs Leagues and the independent workingclass education movement in the early 20th century. The rise of social movement learning is changing all that, since social movements that are also learning movements need to know and remember their own history, as much as those they oppose might need to ignore or suppress it. This collection by Choudry and Vally makes social movement histories—their collection, recording, and analysis—a core element of social movement learning curriculum and pedagogy.
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How this classification was reachedexpand
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".