Bibliographic record
Abstract
This theological reflection is based on my experience as a nurse during the COVID-19 pandemic. In this paper I reflect on nursing as a hospitable practice, and examine the unique challenges which impact the provision of hospitable care during this pandemic. Hospitable nursing care is grounded in the hospitality of God as demonstrated through the healing care of Jesus, and in historical examples of Christian care of the sick during past epidemics. The paper examines the tensions experienced by nurses between adhering to protocol and extending hospitality. It concludes that while nursing during a pandemic is fraught with challenges, these can be overcome by a conviction that caring for one’s patient is rooted in the hospitality modeled by Jesus. The commitment to maintain proximity and touch, the gift of presence and life-giving words continue to be priorities for the nurse, especially during a pandemic.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.027 | 0.042 |
| Scholarly communication | 0.012 | 0.011 |
| Open science | 0.002 | 0.014 |
| Research integrity | 0.007 | 0.019 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".