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
The aim of this study was to map Togolese people's positions regarding the breaking of bad news to elderly patients. Two hundred eleven participants who had in the past received bad medical news were presented with 72 vignettes depicting communication of bad news to elderly female patients and asked to indicate the acceptability of the physician's conduct in each case. The vignettes were all combinations of five factors: (a) the severity of the disease, (b) the patient's wishes about disclosure, (c) the level of social support during hospitalization, (d) the patient's psychological robustness, and (e) the physician's decision about how to communicate the bad news. Five qualitatively different positions were found. Two percent of the participants preferred that the physician always tell the full truth to both the patient and her relatives, 8% preferred that the truth be told depending on the physician's perception of the situation, 15% preferred that the physician tell the truth but understood that in some cases nondisclosure to the patient was not inappropriate, 33% preferred that the physician tell the full truth to the relatives but not as much information to the patient, and 42% preferred that the physician tell the full truth to the relatives only. These findings present a challenge to European physicians taking care of African patients living in Europe or working in African hospitals, and to African physicians trained in Europe and now working in their home countries. If these physicians respect the imperative of always telling the truth directly to their patients, their behavior may trigger anger and considerable misunderstanding among African patients and their families.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.003 |
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