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Record W2135379482 · doi:10.1093/bjsw/bcn032

Speaking from the Margins: A Critical Reflection on the 'Spiritual-but-not-Religious' Discourse in Social Work

2008· article· en· W2135379482 on OpenAlexaff
Y.-L. R. Wong, J. Vinsky

Bibliographic record

VenueThe British Journal of Social Work · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Work Education and Practice
Canadian institutionsYork University
Fundersnot available
KeywordsSociologyCritical reflectionReflection (computer programming)Work (physics)Media studiesReligious studiesPhilosophyPedagogyComputer scienceEngineering

Abstract

fetched live from OpenAlex

This paper attempts to make visible the invisible Euro-Christian ethnocentrism and individualism in the ‘spiritual-but-not-religious’ discourse in social work. A critical analysis of the current literature on spirituality and social work, intertwined with the authors' personal narratives of spirituality and religion, calls into question the subject positions of social work authors who argue for differentiating spirituality from religion. We ask: From whose vantage point is the ‘spiritual-but-not-religious’ discourse produced? What gets legitimized and who gets excluded from this particular construction of spirituality? This paper deconstructs the power relations of race, ethnicity, and sexuality in the discourse of spirituality in social work. It destabilizes the assumption of spirituality as non-sectarian and inclusive. Contrary to many social work authors and educators' best intention of inclusivity, we contend that the ‘spiritual-but-not-religious’ discourse in social work may have inadvertently reproduced the process of colonial othering and further marginalization of racialized ethnic groups who are more often represented as ‘religious’.

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)0.048
metaresearch head score (Gemma)0.049
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: none
Teacher disagreement score0.048
Threshold uncertainty score0.253

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0480.049
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0050.003
Science and technology studies0.0480.164
Scholarly communication0.0270.030
Open science0.0040.020
Research integrity0.0170.030
Insufficient payload (model declined to judge)0.0030.000

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 head0.066
GPT teacher head0.384
Teacher spread0.318 · 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

Citations76
Published2008
Admission routes1
Has abstractyes

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