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Record W2123287263 · doi:10.1093/phe/php002

The Role of Faith-Based Organizations in the Ethical Aspects of Pandemic Flu Planning--Lessons Learned from the Toronto SARS Experience

2009· article· en· W2123287263 on OpenAlexafffundabout
Halley S. Faust, Cécile M. Bensimon, Ross Upshur

Bibliographic record

VenuePublic Health Ethics · 2009
Typearticle
Languageen
FieldHealth Professions
TopicDisaster Response and Management
Canadian institutionsHealth Sciences CentreUniversity of TorontoSunnybrook Health Science Centre
FundersCanadian Institutes of Health ResearchHospital for Sick ChildrenCanada Research Chairs
KeywordsFaithPandemicBioethicsLibrary scienceSociologyCoronavirus disease 2019 (COVID-19)Media studiesMedicinePolitical scienceLawPhilosophyTheology

Abstract

fetched live from OpenAlex

Are restrictive measures and duties to care ethically reasonably acceptable to faith-based organizations? This study describes the perceptions of individually interviewed spiritual leaders of the disease control measures used during the recent SARS outbreak in Toronto. Four central themes were identified: the relationship between religious obligation and civic responsibilities; the role of faith-based organizations in supporting public health restrictive measures; the reciprocal obligations of public health and religious communities during restrictions; and justifiable limits to duties to care. We conclude that, within certain constraints, spiritual leaders find restrictive measures ethically reasonable and that spiritual leaders can play an important role during pandemic and epidemic control planning. Public health officials should therefore include them in the early and ongoing deliberations of the criteria and logistics for implementation during public health emergencies.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.788
Threshold uncertainty score0.421

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0130.027
Scholarly communication0.0050.002
Open science0.0010.005
Research integrity0.0020.004
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 head0.282
GPT teacher head0.515
Teacher spread0.232 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations6
Published2009
Admission routes3
Has abstractyes

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