Compassion, Bureaucrat Bashing, and Public Administration
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
Abstract How citizens behave toward public sector workers is crucial for the well‐being and performance of workers. Scholars have mainly focused on understanding negative citizen behaviors, such as aggression. We study a positive behavior, namely compassionate behavior. We study real compassionate behavior in the form of writing positive encouragement messages that are distributed to social workers in the field. We test if showing difficulties faced by public sector workers results in citizens writing more encouragement messages. We also test if bureaucrat bashing results in less encouragement messages. Using a preregistered experiment among a representative sample of Canadian citizens (n = 1,264), we find that showing public sector workers' struggles and imperfections makes citizens almost twice as likely to write an encouragement message. Hence, showing your weakness can be a strength. Bureaucrat bashing, however, has no effect. Results show that citizens can be stimulated to act more positively toward public sector workers.
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 | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 it