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Record W4417265131 · doi:10.1080/23312521.2025.2594216

Engaging in Difficult Conversations: Supporting the Spiritual Needs of People with Intellectual and/or Developmental Disabilities

2025· article· en· W4417265131 on OpenAlexaboutno aff
W. Y. Alice Chan, Gord Tulloch, Margaretta Patrick

Bibliographic record

VenueJournal of Disability & Religion · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicReligion, Spirituality, and Psychology
Canadian institutionsnot available
Fundersnot available
KeywordsQualitative researchIntellectual disabilityContext (archaeology)Action (physics)

Abstract

fetched live from OpenAlex

This article joins the existing conversation about the place and importance of spirituality for persons with intellectual and/or developmental disabilities (IDD). While the conversation is marginal and predominantly informed by US-based studies, we present findings from a study based in Metro Vancouver, Canada that continues a decade of research by three local community living organizations, which discovered an egregious lack of attention to supporting the inner needs of human life and wellbeing. With an understanding that spirituality is largely omitted from discussions of wellbeing but can be a powerful component of human life, we explored how “spiritual literacy”—described as an ability to engage with religious and nonreligious spiritualities in our study—can further support well-being for adults with IDD. Specifically, we examined staff and management perspectives concerning their role in supporting the spiritual literacy and journeys of persons with IDD. Through a survey across the three organizations; sense-making sessions with frontline staff, managers, CEOs, and board members; and, co-analysis with staff to further analyze the data, we learned that: 1) everyone defines “spirituality” differently which makes an organizational strategy difficult to devise; 2) staff lack training around religion and spirituality and feel ill-equipped to provide literacy or guidance; and, 3) clear guidelines are needed to navigate ethical dilemmas. We discuss each finding in this article and offer practical implications for agencies. While it provides findings from stage one of our project, another article will present findings from conversations with adults with IDD to provide further insight into this discussion.

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)0.003
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.536
Threshold uncertainty score0.859

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.024
GPT teacher head0.332
Teacher spread0.307 · 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 teacher head, 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

Citations0
Published2025
Admission routes1
Has abstractyes

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