Bibliographic record
Abstract
arly on in medical school, my grandmother had a fall and broke her arm.She was my biggest supporter, encouraging me to pursue medicine, and I thought I could return some of that support by helping her out at home.She always wanted to hear how things were going, so I told her about my classes and my aspirations while she recounted stories of old boyfriends and the way things used to be.As I helped her with the more unpleasant aspects of daily life, the role of personal autonomy in illness played on my mind.A loss of mobility and independence can be devastating, especially in the elderly.Even more broadly, as we lose autonomy, as our bodies are compromised by illness, we put faith in the care of others to treat us with dignity and compassion.No matter how low a person gets, they deserve that dignity.Falls are a herald of frailty, a sign of the reduced ability to overcome illness.There were multiple prolonged trips to the emergency room for various reasons, and I felt my position of privilege having some familiarity with the medical system as I noticed the frustration in the waiting rooms.How confusing and convoluted this system must seem to those who need the most assistance, to those who, by the very nature of their illness or social position, are disadvantaged to access proper medical care.I shared with her the path of the patient, from the other side of the medical system, as she waited for answers and came to terms with uncertainty.Not long after, she fell prey to a terrible respiratory condition.She was full of spirit and her wishes had always been clear: I have lived and loved, and there is no life to be lived if dependent on others.It was very
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 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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.011 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 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".