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Record W3122633610 · doi:10.1080/1756073x.2020.1866850

Audacious hospitality: nursing in the time of COVID-19

2021· article· en· W3122633610 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePractical Theology · 2021
Typearticle
Languageen
FieldHealth Professions
TopicDisaster Response and Management
Canadian institutionsMcMaster Divinity CollegeMcMaster University
Fundersnot available
KeywordsHospitalityPandemicNursingCoronavirus disease 2019 (COVID-19)ConvictionSociologyMedicinePsychologyTourismPolitical scienceLaw

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.800
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.117
GPT teacher head0.517
Teacher spread0.400 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it