Narrative Therapy and Mindfulness: Intention, Attention, Ethics. Part 2
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.006 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".