The Impact of the COVID-19 Pandemic on the Psychological Well-Being of Catholic Priests in Canada
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
Among the general population, frontline workers have been identified to be at heightened risk for negative mental health consequences related to the COVID-19 Pandemic. Catholic priests, who minister to approximately 30% of Canadians, in their role as frontline workers, have been profoundly limited in the provision of pastoral care due to public health restrictions. However, little is known about the impact pandemic distress has on this largely understudied population. Four hundred and eleven Catholic priests across Canada participated in an online survey during May and June 2021. Multiple regression analysis examined how depression, anxiety, traumatic impact of events, loneliness, and religious coping style affect the psychological well-being, satisfaction as a priest, and priestly identity of participants. Results demonstrated that pandemic distress significantly impacts the psychological well-being of priest participants. Depression and loneliness surfaced as significant considerations associated with lowered psychological well-being. While neither anxiety nor traumatic distress reached a significance threshold, the religious coping style of participants emerged as an important factor in the psychological well-being of priests. Results of the study contribute to the understanding of how the pandemic has impacted a less visible group of frontline 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 | 0.002 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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