Research Paradigms in Psychosomatic Medicine with Special Emphasis on Whiplash ‐ Cervical Hyperextension Flexion Injury (CHFI)
Bibliographic record
Abstract
There have been a number of attempts, particularly in the last five decades to understand the origins of pain in terms of psychological or psychosomatic patterns. These include psychoanalytic explanations relying on hysterical mechanisms, and psychophysiological proposals. The occurrence of pain in the course of psychiatric illness and its remission after the illness, has long been known and is not a controversial issue. However, the reported explanations of pain without overt and obvious prior psychiatric illness have largely failed to convince a significant portion of the professional establishment. These explanations have very often coincided with the interests of insurance companies, whether those insurance companies were providing medical benefits, disability insurance or workers' or accident compensation. Critical examination of the evidence generated by insurance company related research indicates profound weaknesses in it.
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How this classification was reachedexpand
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 | 0.018 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".