Transformational leadership and follower proactivity in a volunteer workforce
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 study explored how transformational leaders can enhance volunteers’ proactive behavior in an all‐volunteer nonprofit organization. Based on Parker, Bindl, and Strauss’s model of motivation, it was hypothesized that role breadth self‐efficacy, work values (self‐direction/stimulation and universalism/benevolence), and positive affect would mediate the transformational leadership—proactive behavior relationship. Data came from 141 volunteers in Brazilian chapters of an international not‐for‐profit organization. The model was tested using structural equation modeling, with mediation hypotheses tested by estimating the indirect effects using bias‐corrected intervals. Comparative fit index (.97) and standardized root mean square residual (.05) fit statistics indicate the model is plausible. These findings contribute to the understanding of the role that leaders play in increasing followers’ proactive behavior in volunteer organizations.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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