Activist Research Practice: Exploring Research and Knowledge Production for Social Action
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
Research is a major aspect and fundamental component of many social struggles and movements for change. Understanding social movement networks as significant sites of knowledge production, this article situates and discusses processes and practice of activist research produced outside of academia in these milieus in the broader context of the ‘knowledge-practice’ of social movements. In dialogue with scholarly literature on activist research, it draws from the author’s work as an activist researcher, and a current study of small activist research non-governmental organizations (NGOs) with examples from movement research on transnational corporate power and resistance to capitalist globalization.. It explicates research processes arising from, and embedded in, relationships and dialogue with other activists and organizations that develop through collaboration in formal and informal networks; it contends that building relationships is central to effective activist research practice. In addition to examining how activist researchers practice, understand and validate their research, this paper also shows how this knowledge is constructed, disseminated and mobilized as a tool for effective social action/organizing.
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 | 0.009 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.012 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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