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
Measures of quality of life are used increasingly to evaluate the outcome of surgical care. Impairment in quality of life is a major reason why patients seek surgical care, and changes in health-related quality of life are how patients assess the effect of treatment. Disease-specific measures focus on a particular health condition and are useful for detecting change resulting from treatment. Generic measures cover a wider spectrum of quality of life, provide a global assessment of a patient's overall health, and allow comparisons with other health conditions. Quality of life is not measured directly but is commonly sampled by using measurement scales in the form of questionnaires. The important properties of quality-of-life measurement scales are reliability, the extent to which a measure provides similar values for individuals with similar underlying quality of life; validity, the extent to which it measures what it purports to measure; responsiveness, the extent to which changes in correlate with true changes in quality of life; and sensitivity, the extent to which a measure can detect meaningful changes in quality of life.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.002 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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