Schmorl's nodes: clinical significance and implications for the bioarchaeological record
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Back pain is one of the major contributors to disability and loss of productivity in modern populations. However, osteological correlates of back pain are often absent or, as yet, unidentified. As bioarchaeologists depend on osteological evidence to interpret quality of life in the past, back pain, with its profound effects on modern populations, is largely overlooked in archaeological samples. This study addresses this shortcoming in bioarchaeological analysis by exploring the relationship between a defined vertebral osteological lesion, the Schmorl's node, and its effect on quality of life in a clinical population. Using patient insight, healthcare practitioner diagnoses and MR imaging analyses, this study investigates: (1) Schmorl's nodes and sociodemographic factors; (2) the number, location and quantitative aspects (e.g. length, depth, area) of Schmorl's nodes, and how these influence the reporting of pain; (3) the dynamic effects of Schmorl's nodes, in combination with other variables, in the reporting of pain; and (4) the perception and impact of pain that patients attribute to Schmorl's nodes with regard to quality‐of‐life issues. The results of this study indicate that Schmorl's nodes located in the central portion of the vertebral body are significantly associated with patient reporting of pain, and that the presence of osteophytes, in the affected vertebral region, may increase the likelihood that an individual will report pain. This finding provides bioarchaeologists with an osteological correlate to begin interpreting the presence and impact of pain in archaeological populations, with implications for scoring Schmorl's nodes. Copyright © 2007 John Wiley & Sons, Ltd.
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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 | 0.002 |
| 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 | 0.002 |
| 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 | 0.000 |
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