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Record W2144667973 · doi:10.1177/1359105314566610

Definitional ceremonies: Narrative practices for psychologists to inform interdisciplinary teams’ understanding of children’s spirituality in pediatric settings

2015· article· en· W2144667973 on OpenAlexaff
Kelsey Moore, Victoria Talwar, Linda Moxley‐Haegert

Bibliographic record

VenueJournal of Health Psychology · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicReligion, Spirituality, and Psychology
Canadian institutionsMontreal Children's HospitalMcGill University
Fundersnot available
KeywordsSpiritualityNarrativePsychologyMeaning (existential)Health carePediatric cancerRelevance (law)PsychotherapistMedicineAlternative medicine

Abstract

fetched live from OpenAlex

In pediatric settings, parents and children often seek spiritual and religious support from their healthcare provider, as they try to find meaning in their illness. Narrative practices, such as definitional ceremonies, can provide a unique framework for psychologists to explore children's spirituality and its role in the midst of illness. In addition, definitional ceremonies can be used as a means for psychologists to inform interdisciplinary teams' understanding of children's spirituality and its relevance in pediatric treatment settings. In this article, our objectives are to (a) provide a brief overview of the literature on children's spirituality, (b) review some of the literature on childhood cancer patients' spirituality, (c) highlight the importance of whole-person care for diverse pediatric patients, and (d) introduce definitional ceremonies as appropriate narrative practices that psychologists can use to both guide their therapy and inform interdisciplinary teams' understanding of children's 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 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)0.023
metaresearch head score (Gemma)0.044
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: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.121

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0230.044
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0070.007
Scholarly communication0.0070.012
Open science0.0020.011
Research integrity0.0020.007
Insufficient payload (model declined to judge)0.0070.001

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 head0.233
GPT teacher head0.525
Teacher spread0.292 · 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

Citations11
Published2015
Admission routes1
Has abstractyes

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