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Record W2142411587 · doi:10.1177/1350508411411759

Varieties of organizational soul: The ethics of belief in organizations

2011· article· en· W2142411587 on OpenAlexaff
Emma Bell, Scott Taylor, Cathy Driscoll

Bibliographic record

VenueOrganization · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicWorkplace Spirituality and Leadership
Canadian institutionsSaint Mary's University
Fundersnot available
KeywordsSoulSociologyEpistemologyPragmatismSkepticismOrganizational ethicsAction (physics)Environmental ethicsPhilosophyPolitical sciencePublic relations

Abstract

fetched live from OpenAlex

This article argues that the expression of religious beliefs within organizations, often made manifest through the notion of soul, provides insight into the ethics of organization in postsecular society. Using examples to illustrate the discursive representation of organizational soul in three US-based multinational companies, we argue that religious organizational beliefs must be located within cultural and material contexts of practice in order to fully appreciate their ethical implications. We show how the use of soul is a contemporary reiteration of the 19th century religious attitude that William James termed ‘healthy-mindedness’. We suggest that this variety of religious experience is limiting through its neglect of the social and political contexts of ethical thought and action and the definition of evil or harm as external to the believer and the organization. Drawing on a pragmatist perspective, we critique this approach to belief-led business and propose that the Jamesian notion of a ‘sick soul’ constitutes a more robust ethical framework for belief-led businesses by encouraging ethical skepticism concerning the nature of organizational activities. We conclude by exploring what our analysis means for the development of postsecular critical organization theory.

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)0.006
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.007
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.074
Scholarly communication0.0070.006
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0010.000

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 head0.077
GPT teacher head0.303
Teacher spread0.226 · 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 designTheoretical or conceptual
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

Citations27
Published2011
Admission routes1
Has abstractyes

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