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
OBJECTIVE: The aims of this systematic review were to identify the different versions of the Tampa Scale of kinesiophobia (TSK) and to report on the psychometric evidence relating to these different versions for people experiencing musculoskeletal pain. METHODS: Medline [Ovid] CINAHL and Embase databases were searched for publications reporting on the psychometric properties of the TSK in populations with musculoskeletal pain. Risks of bias were evaluated using the COSMIN risk of the bias assessment tool. RESULTS: Forty-one studies were included, mainly with a low risk of bias. Five versions of the TSK were identified: TSK-17, TSK-13, TSK-11, TSK-4, and TSK-TMD (for temporomandibular disorders). Most TSK versions showed good to excellent test-retest reliability (intraclass coefficient correlation 0.77 to 0.99) and good internal consistency (ɑ=0.68 to 0.91), except for the TSK-4 as its reliability has yet to be defined. The minimal detectable change was lower for the TSK-17 (11% to 13% of total score) and the TSK-13 (8% of total score) compared with the TSK-11 (16% of total score). Most TSK versions showed good construct validity, although TSK-11 validity was inconsistent between studies. Finally, the TSK-17, -13, and -11 were highly responsive to change, while responsiveness has yet to be defined for the TSK-4 and TSK-TMD. DISCUSSION: Clinical guidelines now recommend that clinicians identify the presence of kinesiophobia among patients as it may contribute to persistent pain and disability. The TSK is a self-report questionnaire widely used, but 5 different versions exist. Based on these results, the use of TSK-13 and TSK-17 is encouraged as they are valid, reliable, and responsive.
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 | 0.037 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.004 |
| 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