Acting as a Change Agent
Bibliographic record
Abstract
Background: Acting as a change agent (CA) is a key role for Health and Social Services (HSS) professionals. It involves working collaboratively with actors across and outside the HSS system and influencing decision-makers. However, this role requires specific skills that HSS professionals generally feel that they have not mastered. The overarching goal of this research partnership is to explore the development of CA skills by HSS professionals using a customized training program.
 Methods/Design: Through a research partnership, 128 HSS professionals will receive 7 hours of training using a professional co-development approach and a checklist. The immediate and medium-term effects of the training on their skills development will be evaluated with a self-administered questionnaire before and immediately following the training and again nine months later. The data will be analyzed using descriptive and inferential statistics.
 Discussion: This study will shed light on the effects of a customized training program on CA skills development. It will also have three main benefits: (1) development of an easy-to-reuse CA training program and checklist; (2) partner’s ownership of these products through close involvement; and (3) development of a sustainable partnership between a team of researchers and a recognized organization with an extensive HSS network.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.012 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".