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Record W4285328456 · doi:10.1521/jsyt.2021.40.4.1

Narrative Therapy and Mindfulness: Intention, Attention, Ethics. Part 2

2021· article· en· W4285328456 on OpenAlexaffvenue
Ian Percy, David Paré

Bibliographic record

VenueJournal of Systemic Therapies · 2021
Typearticle
Languageen
FieldPsychology
TopicCounseling, Therapy, and Family Dynamics
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMindfulnessNarrativePsychologyNarrative therapyPsychotherapistIntentionalitySocial psychologyAestheticsSociologyEpistemology

Abstract

fetched live from OpenAlex

This is the second of a matched pair of articles that present concepts and practices for expanding the territory of narrative therapy to include working with attention and present moment awareness. The first article explored similarities and differences between narrative therapy and attentional practices derived from Buddhist traditions frequently associated in western contexts with the term “mindfulness.” That piece proposed that both narrative and mindfulness support persons in enacting ethical choice, but the process differs in the two traditions. Narrative is preoccupied with stories or discourses, which are externalized, making space for the performance of alternatives. Mindfulness practices key in on attention, supporting persons in relinquishing the grasp on a never-ending flow of mental phenomena. Narrative seeks to liberate our storying capacity; mindfulness seeks to liberate our attention. Both traditions support persons in living in a manner congruent with their values; we have called this ethical intentionality. This companion article offers examples of how these two traditions can be co-mingled in therapeutic practice.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.044
Threshold uncertainty score0.648

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.043
GPT teacher head0.315
Teacher spread0.273 · 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

Citations2
Published2021
Admission routes2
Has abstractyes

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