Building personal resilience in paramedic students
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 present study examined the impact of a 6- to 8-hour, self-paced online resiliency training program to help students training to be Primary Care Paramedics (PCP) mitigate the risks associated with working in a trauma informed work setting. Of the 138 participants, 88 were male and 30 were female, with a mean age of 25.5 years. Of these, 81 students participated in the experimental group (who took the course), and 57 in the control group. Baseline demographic results were examined using bivariate comparisons between the control and experimental, and all were found to be statistically insignificant at p < 0.05 which suggests that there were no differences between the two groups on the pre-test demographic variables. Prior to the intervention there were no significant differences in total resilience or any of the sub-scales (selfreliance, meaningfulness, equanimity, perseverance, and existential aloneness). Following the resiliency training and the practicum experience, the experimental group scored better in total resilience and each of the sub-scores (p < 0.05) except meaningfulness. Results suggest that developing skills to mitigate and manage workplace trauma can reduce or help mitigate the negative impact of exposure to trauma and potentially reduce the risk of developing trauma related mental health problems which may impact the well-being and quality of life of students once employed as a paramedic.
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 | 0.003 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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