Bibliographic record
Abstract
BAKALÁŘSKÉ PRÁCE V AJ Name, surname: Zuzana Horáková Supervisor: Mgr. et Mgr. et Mgr. Klára Novotná, Ph.D. Title: Psychosomatics and its role in chronic back pain Abstract: This bachelor thesis focuses on exploring the connection between psychosomatics and chronic back pain. The thesis is divided into two parts: theoretical and practical. The theoretical part of the thesis provides a comprehensive summary of information on psychosomatics, including its concept, boundaries, and role within medicine. It also explains the different types of pain, their assessment, and individuality in perception. The issue of stress, including its origin, nature, and effects on human functioning, is also discussed. Additionally, the thesis examines the psychosomatic approach and its key aspects. The practical part of the thesis involves a research that determines the prevalence of risky psychosocial factors in patients with long-term chronic back pain attending physiotherapy. It also includes a case report of a patient with chronic back pain in the cervical spine who was identified as being at risk for psychosocial factors. The results of the thesis include an evaluation of the impact of physiotherapy intervention on psychosomatic back pain through the numerical pain scale and a short form of the McGill University...
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".