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Record W3135979915 · doi:10.1163/15700682-12341513

Religious Studies and the Spiritual Turn

2021· article· en· W3135979915 on OpenAlexaff
Sharday Mosurinjohn, Galen Watts

Bibliographic record

VenueMethod & Theory in the Study of Religion · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicReligion and Society Interactions
Canadian institutionsQueen's University
Fundersnot available
KeywordsSpiritualityEmic and eticSociologyScholarshipSociology of religionEpistemologySocial scienceAnthropologyLawPhilosophyPolitical science

Abstract

fetched live from OpenAlex

Abstract This article surveys the range of positions from which religious studies scholars have generally responded to the spiritual turn. We classify these as: the sociology of religion approach, the critical religion approach, and the practical study for spirituality by professional fields like business, education, and healthcare. In light of recent cultural sociological and historical scholarship on the emic folk category “spirituality” we argue that, given their foundational assumptions, each of these approaches is inadequate for achieving an accurate empirical account of the spiritual turn. We argue that for sociology of religion and critical religion to adequately respond to the professional study for spirituality, they must begin to reckon with the minority consensus developed by cultural sociologists about the spiritual turn. The minority consensus holds that the spiritual turn comprises two components: first, a semantic shift from “religion” to “spirituality,” and second, the crystallization and spread of a shared cultural structure. Coming to terms with this approach will require scholars of religion to reconsider both their assumptions about the category “religion” as well as the limits of their discipline.

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)0.007
metaresearch head score (Gemma)0.010
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: Review · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0040.021
Scholarly communication0.0040.004
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.038
GPT teacher head0.417
Teacher spread0.379 · 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
GenreReview

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

Citations2
Published2021
Admission routes1
Has abstractyes

Explore more

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