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 review discusses the recent literature on pain conditions in children that should be of interest to rheumatologists. The focus of the review is therefore on musculoskeletal pains in children, particularly chronic or recurrent musculoskeletal pain. Articles that have a broader focus on pain are discussed when these are likely to be of general interest to rheumatologists. Chronic or recurrent pain in childhood is common and can be caused by a wide variety of conditions, several of which are discussed here. The importance of being able to measure pain in children has been emphasized repeatedly in the recent literature. With increased understanding of how to evaluate pain in children has come the recognition that pain in children is multifactorial and that even when there are obvious "organic" causes of the pain (such as arthritis), psychosocial factors are critical in how pain is perceived, and they influence the extent to which pain leads to dysfunction. There is also increasing evidence that cognitive-behavioral therapies are effective in managing chronic pain in children. The frequency of back pain in children is increasingly recognized, and the role of children's work and play, carrying heavy backpacks, and sitting for long periods of time at computers in causing back pain is of interest. The studies reviewed here add to an increasingly rich and informative literature on musculoskeletal and other chronic pain in children, and they help emphasize the importance of proper evaluation and management of pain in children.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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