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Record W2462553550 · doi:10.1521/jsyt.2000.19.2.65

Re-Authoring Spiritual Narratives: God in Persons' Relational Identity Stories

2000· article· en· W2462553550 on OpenAlexvenueno aff
Thomas D. Carlson, Martin Erickson

Bibliographic record

VenueJournal of Systemic Therapies · 2000
Typearticle
Languageen
FieldPsychology
TopicCounseling, Therapy, and Family Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsNarrativeIdentity (music)Deconstruction (building)Narrative therapyPsychologyConstitutionSociologyPersonal identitySocial psychologyPsychotherapistPsychoanalysisAestheticsSelfLiteraturePhilosophyArtPolitical scienceLaw

Abstract

fetched live from OpenAlex

In important ways, the shift toward social constructionist therapies in marriage and family therapy is opening the door to include spiritual and religious issues in therapy. This article explores the benefits of using narrative therapy with religious and/or spiritual persons with regard to their personal relationship with God. A rationale is given for personal identity stories to be recast as relational identity stories. Relationships are seen as key factors in the constitution and perpetuation of one's identity story. Re-authoring spiritual narratives draws on a person's relationship with God and how this relationship influences the relational identity story of the person. The practices of externalizing conversations, deconstruction, exploring unique outcomes, re-authoring, and re-membering are explained as used in working with a person's relational identity stories and relationship with God. Examples of questions are given for each practice. Throughout the discussion, an account of a woman the first author worked with in therapy is given for illustration of these ideas.

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)0.013
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 score0.007
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.016
Scholarly communication0.0070.008
Open science0.0010.008
Research integrity0.0020.003
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 head0.031
GPT teacher head0.315
Teacher spread0.284 · 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

Citations29
Published2000
Admission routes1
Has abstractyes

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