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
This article is the report of the development and validation of a tailored Web-based intervention for postoperative pain self-management in adults who underwent cardiac surgery. The development of SOULAGE-TAVIE included four main phases: (1) identification of a clinical problem, (2) outline design, (3) clinical operationalization, and (4) production. The validation of the intervention's feasibility and acceptability was made through pilot testing with 30 patients expecting cardiac surgery over 4 months in 2010. SOULAGE-TAVIE consists of a 30-minute computer-tailored preoperative educational session about postoperative pain management. Activities and information were tailored according to a predetermined profile. Two short reinforcements were provided in person postoperatively. Ninety-six percent of participants agreed that the strategies proposed responded to their needs. An iterative process among various sources of knowledge gave place to an innovative approach to preoperative education. Pilot testing provided preliminary support for the acceptability and feasibility of a tailored Web-based intervention. Patient empowerment is complementary yet crucial in the current context of care and may contribute to improved pain relief. The use of information technologies can increase personalization and accessibility to health education in a complex environment of care.
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 | 0.000 | 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) | 0.000 | 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 it