Addressing Compassion Fatigue Using Career Engagement and the Hope-Centered Model for Career Development
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
The COVID-19 pandemic has exacted a toll on healthcare workers, who have been required to work during times of great challenge and scarcity, as well as risk to themselves, whilst continuing to provide care for others. This desire to alleviate the suffering of others puts healthcare workers at increased risk of compassion fatigue, a traumatic stress response that can develop from supporting others through emotional suffering and trying to alleviate that pain. Increased risk to this large population poses a challenge to career practitioners, who will need effective ways of supporting these workers in healing. This paper discusses conceptualizing compassion fatigue through a career engagement lens, and proposes the uses of the Hope-Centered Model of Career Development as a means of supporting reengagement. Through the reinstallation of hope, feeling of agency and achievement again become possible.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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