Finding a voice: revisiting the history of therapeutic writing
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
We review the history of therapeutic writing, focusing on the role of narrative competence and the use of writing therapy for stress, trauma and coping with chronic illness. After providing a historical overview of the evidence for writing's positive effects on health and the hypothesised mechanisms underlying this effect, we ask whether narrative competence can explain and improve writing's benefit. Narrative competence is defined across two dimensions: (1) Emplotment, or the ability to construct and comprehend goal-oriented connections among temporally situated events; and (2) Meaning, or the ability to understand and communicate contextual interpretations of ambiguous story structures. We suggest that the ability to construct well-organised and meaningful narratives is an important skill for successfully coping with life stressors and trauma, enabling individuals to create coherent stories from fractured memories and to facilitate cognitive processing of traumatic events. Given the positive effect of narrative competence on psycho-physical health, there is a need to broaden medical use of narrative competence therapies beyond the current interventions aimed at fostering empathy among healthcare providers, to include therapies for the patients themselves. Toward this end, we briefly explore one clinical model currently offered by Dr Allan Peterkin and colleagues at Mount Sinai Hospital providing group Narrative Competence Psychotherapy (NCP) for individuals living with HIV.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it