The ligaments and articular surfaces of the talocalcaneal joint: a cadaveric study
Bibliographic record
Abstract
Introduction The articulation between the talus and the calcaneus, the subtalar joint, is important in chronic ankle instability. The relationship between the ligaments and the articular surfaces of this joint has not been thoroughly discussed in the literature. This study aims to describe and quantify the relationship between the morphology and attachments of the interosseous talocalcaneal ligament (ITCL) and the total surface area and configuration of the joint facets on the calcaneus. Methods 20 subtalar joints from embalmed cadavers will be dissected and distracted. Measurements of the ITCL and the joint facets on the calcaneus will be reported. Results Preliminary results suggest a positive correlation between thickness of ITCL and total surface area of the talar facets on the calcaneus. Discussion Subtalar joint instability may contribute to recurrent ankle sprains. Knowledge of the ligaments and articular surfaces of the joint is critical for effective diagnosis and treatment. Reconstruction of the ITCL could be crucial in the treatment of chronic ankle instability. Precise information about the morphology, attachments and relationship of the ITCL to the joint facets is necessary to maximize the positive results of reconstructive surgery. This work was supported by the Anatomy & Cell Biology Department at the University of Western Ontario and the Ontario Graduate Scholarship program. Grant Funding Source OGS
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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 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".