Coghlan, D., & Brydon-Miller, M. (2014). The Sage encyclopedia of action research. Thousand Oaks, CA: SAGE.
Bibliographic record
Abstract
The Sage encyclopedia of action research is a two-volume series of entries about action research which has been compiled by a team of editors and specialists in different areas of action research. The specializations of the editors include general action research (Greenwood), organization development (Coughlan, Dick), community-based action research (Brydon-Miller, Flicker, Hall), organizational behaviour (Friedman), action-research as meta-methodology (Sankaran), agency and activism (Gaya), participatory action research (Guhathakurta, Jaitli, Tandon), and educational action research (Zhao). They sought entries from 200 researchers in the field. The topics covered are also extensive and include the following: biographies of well-respected action researchers, concepts, epistemologies, ethics, goals, methods, methodologies, organizations and movements, philosophical underpinnings, settings, skills, spirituality, theories, and tools.
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 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 | 0.079 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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; both teacher heads agree on what is shown here.
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".