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Record W2804778655 · doi:10.1177/0008429818764114

On the Politics of Self-spirituality

2018· article· en· W2804778655 on OpenAlexafffundvenueabout
Galen Watts

Bibliographic record

VenueStudies in Religion/Sciences Religieuses · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicReligion, Spirituality, and Psychology
Canadian institutionsQueen's University
FundersSocial Sciences and Humanities Research Council of CanadaUniversity of Toronto
KeywordsSpiritualityIndividualismAmbivalenceCapitalismPoliticsSociologyIdeologyGender studiesSelfAestheticsSocial psychologyPsychologyPolitical scienceLawPhilosophy

Abstract

fetched live from OpenAlex

In the last quarter century, a steadily increasing number of North Americans, when asked their religious affiliation, have self-identified as “spiritual but not religious” (SBNR). Charles Taylor argues that the popularity of “spirituality” is the result of the “massive subjective turn of modern culture”; while Paul Heelas has deemed this new religious form, “self-spirituality.” Many scholars have taken a critical stance toward this recent cultural development, positing that self-spirituality is a byproduct of the self-obsessed and individualistic culture which saturates the West, or that spirituality, at its worst, is simply a rebranding of religion in order to support consumer culture and the ideology of late capitalism. In this article, I seek to problematize these accounts. Drawing from qualitative data collected from semi-structured interviews with Canadian millennials who self-identify as SBNR, I will argue that self-spirituality is less individualistic and narcissistic than these scholars assert, its relationship to late capitalism is better understood as ambivalent, rather than congenial, and due to their methodological prejudices these critiques of self-spirituality are inadequate to analyse and understand the politics of self-spirituality.

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 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)0.004
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.257
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0020.011
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.116
GPT teacher head0.445
Teacher spread0.330 · 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; both teacher heads agree on what is shown here.

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

Citations22
Published2018
Admission routes4
Has abstractyes

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