A review of action learning literature 1994‐2000: Part 2 – signposts into the literature
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
Many organizations now utilize action learning, and it is applied increasingly throughout the world. Action learning appears in numerous variants, but generically it is a form of learning through experience, “by doing”, where the task environment is the classroom, and the task the vehicle. Two previous reviews of the action learning literature by Alan Mumford respectively covered the field prior to 1985 and the period 1985‐1994. Both reviews included books as well as journal articles. This current review covers the period 1994‐2000 and is limited to publicly available journal articles. Part 1 of the Review was published in an earlier issue of the Journal of Workplace Learning (Vol. 15 No. 2) and included a bibliography and comments. Part 2 extends that introduction with a schema for categorizing action learning articles and with comments on representative articles from the bibliography.
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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.006 |
| 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