Evidence map›Paper›PMID 38603209›Full record

ArticleLeadership (London)2022

Consensus, convergence, and COVID-19: The ethical role of religious reasons in leaders' response to COVID-19.

Marilie Coetsee

Abstract read
In one paragraph

Article in Leadership (London), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Marilie CoetseeJepson School of Leadership Studies, University of Richmond, Richmond, VA, USA.ORCID https://orcid.org/0000-0002-9306-0816

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Focusing on current efforts to persuade the public to comply with COVID-19 best practices, this essay examines what role appeals to religious reasons should (or should not) play in leaders' attempts to secure followers' acceptance of group policies in contexts of religious and moral pluralism. While appeals to followers' religious commitments can be helpful in promoting desirable public health outcomes, they also raise moral concerns when made in the contexts of secular institutions with religiously diverse participants. In these contexts, leaders who appeal to religious reasons as bases of justification for imposing COVID policies may seem to fail to show respect for the autonomy of those who lack the relevant religious commitments, and-especially when a leader herself rejects the religious commitments she makes reference to to persuade others-her appeals to religious reasons may seem to constitute ethically problematic exercises of manipulation. This essay draws on the resources of contemporary political philosophy to analyze and respond to these concerns and concludes that they are not sufficiently well-founded. To the contrary, it contends that there are good moral grounds for leaders to appeal to religious reasons as (partial) bases of justification for why followers should accept COVID policies. In the course of the argument, this essay also highlights how contemporary political theory can enrich discussions about the distinctions between coercion, manipulation, and leadership. It thereby give insight not only into the ethics of leadership but also-at least by the lights of central theories of leadership like that of James MacGregor Burns (1978)-into whether and how appeals to religious reasons can figure into genuine exercises of leadership, in contrast with mere instances of the wielding of social power.

Indexed as

COVID-19legitimacypolitical liberalismpublic justificationReligionreligious diversity

Identifiers

PMID38603209
PMCPMC8977420

What OpenQuestion holds

Textmetadata
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.