Incidence of Patterns of Bony Modification of Neck of the Talus
Bibliographic record
Abstract
Background and Aim: Talus is the important tarsal bone that connects the leg two long bones with the human foot through the ankle joint. The current study aims to determine the incidence of neck bone modification of the talus. Methodology: This cross-sectional study was carried out on 82 Tali of either gender in the Department of Anatomy, Saidu Medical College, Swat and Women Medical and Dental College Hospital, Abbottabad during the period from February 2021 to July 2021. Careful examination of the talar neck dorsal surface was carried out for the presence of facets either squatting or medial, gutter-shaped facets, combined facets, and trochlear surface extension. All the data gathered were tabulated and SPSS version 23 was used for data analysis. Results: Of the total 82 human dry tali, the prevalence of lateral squatting facets, medial and bones squatting facets, gutter-shaped facets, and combined facets were 34 (41.5%), 13 (15.9%), 14 (17.1%), and 12 (14.6%) respectively. About 11 (13.4%) tali had no facets. Trochlear surface lateral extension and medial trochlear extension were observed in 70 (85.4%) and 9 (11%) respectively. Gutter, medial and combined facets were more common on the left side compared to the right side whereas on the right side, lateral squatting facets were more common. Lateral extensions were common in medial extensions. Conclusion: The occurrence of various types of squatting facets is caused by cultural habits, squatting position, and genetic inheritance. The dorsal surfaces modifications occurrence of the talus's neck serves as a critical anthropological factor in determining regional origin of unclaimed skeletons. Keywords: Talus, Squatting Facets, Bony modification
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.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".