TAKE THIS JOB AND LOVE IT: A MODEL OF SUPPORT, JOB SATISFACTION, AND AFFECTIVE COMMITMENT AMONG MANAGERS OF VOLUNTEERS
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
Several job‐related and organizational features make the work of community‐based paid managers of volunteers distinctly different from conventional management practice. Based on self‐verification (Swann & Brown, 1990) and exchange (Blau, 1964) theories, we tested a multidimensional measurement model of support specific to these managers. The dimensions include support gained from their coworkers, volunteers, and supervisors, and from the prosocial, value‐expressive nature of the work. This model of support predicted the managers’ job satisfaction, which mediated the relationship between support and affective commitment, with value‐expressive work being the strongest predictor. Both the measurement model of support and the structural predictive model were found to be invariant across managers with greater and less than 10 years of work experience. The findings spotlight the importance of sources of workplace support that shore up employees’ valued identities.
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 | 0.002 | 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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