Our Stories, Our Companions: A Conversation with Arthur W. Frank
Bibliographic record
Abstract
Arthur W. Frank is professor of sociology at the University of Calgary. His publications include The Wounded Storyteller: Body, Illness and Ethics and The Renewal of Generosity: Illness, Medicine, and How to Live, both published by the University of Chicago Press, as well as At the Will of the Body: Reflections on Illness (Houghton Mifflin) and Letting Stories Breathe: A Socio-narratology (University of Chicago Press). Dr. Frank has been honored with the Natalie Davis Spingarn Writer’s Award from the National Coalition for Cancer Survivorship (Canada) and the Abbyann Lynch Medal for Bioethics from the Royal Society of Canada. He is an Elected Fellow of the Royal Society of Canada and the Hastings Center. The following is a redacted transcript of a telephone interview that took place on September 19, 2013.
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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 | 0.009 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.036 | 0.018 |
| Scholarly communication | 0.010 | 0.015 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.007 | 0.018 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".