Exploring Profiles of Public Service Motivation Among Frontline Healthcare Workers During the COVID-19 Pandemic
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
Since the beginning of 2020, the COVID-19 pandemic has placed additional pressure on the supply of healthcare services. This study aims to explore profiles of public service motivation among healthcare workers during a pandemic. A total of 318 questionnaires were completed for two measurement times (T1, n = 171 and T2, n = 147). The study’s mixed-method design identified three profiles: (1) The devoted, (2) the disenchanted, and (3) the limited self-sacrificing. Results also revealed three main factors that may affect motivation in healthcare workers during the COVID-19 pandemic: (1) valorization, (2) leadership, and (3) job design. This study contributes to a better understanding of the organizational and human issues of motivation for public service during a pandemic.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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