Bibliographic record
Abstract
The author writes a genuine story using a narrative medicine writing style [1]. She relates how she applied mindfulness awareness and meditation practices to accompany her best friend, Abigail (Abigail is a pseudonym), who struggled through stages 3 and 4 breast cancer, including its noxious treatments and upsetting side effects. Clinical practice can be enhanced with narrative competence in that it helps the author recognize, interpret and be touched by patients’ stories, including all aspects of illness experiences [2]. The author, a clinical psychologist, has treated patients living with chronic diseases as well as clinicians who care for them for 27 years. Herein, she integrates what she teaches – both to patients and clinicians – into her story, including a postscript pertaining to coping with profound grief. Her intention is to share “both sides” of being with suffering – the other person’s and her own. Rather than act as a healer, in this narrative she is simply a person trekking through grievous passageways with Abigail, from life to death.
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 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 | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".