The impact of Codevelopment Action Learning on work self-efficacy, based on the results of a mixed-methods longitudinal study
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
This article presents the key findings on participant development in Codevelopment Action Learning (CAL) groups from the second phase of Codev-Action, a Canadian action research partnership. The study used a mixed-methods design to quantitatively measure CAL’s contribution to work self-efficacy development in 154 participants from 50 CAL groups over a roughly one-year period. The study also used cross-sectional Qualitative Comparative Analysis (QCA) approach to identify which facilitation behaviour configurations were most likely to increase work self-efficacy among the participants who brought a topic to their group (n = 92). Quantitative results show a significant improvement in work self-efficacy, including perceived effectiveness with regard to teamwork, problem solving, and work politics. Qualitative analysis shows a set of five configurations involving 10 facilitation behaviours that, when used in CAL groups, can support increased work self-efficacy. These results provide empirical evidence for CAL’s contribution to the development of work self-efficacy. Given the well-known impact of self-efficacy on task performance, the progress made in CAL sessions is a significant asset for decision makers.
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 | 0.075 | 0.122 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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