Bibliographic record
Abstract
A review of the existing data on shoulder laxity in females reveals there are insufficient data to confirm the commonly held belief that shoulders in females are more lax than shoulders in males. Laxity is not synonymous with instability. Although females may have increased generalized joint laxity relative to males, generalized joint laxity does not correlate with shoulder laxity. There is conflicting data regarding shoulder laxity and gender. A review of patients with multidirectional instability who were treated operatively showed that 55% of the patients were female (N = 94) and 45% were male (N = 77), but the number or gender of patients who were treated nonoperatively was not reported. Multidirectional instability is reviewed in the context of the lax shoulder in the female. Initial treatment should be nonoperative, emphasizing physical therapy and dynamic stabilization of the shoulder. If nonoperative treatment fails, open or arthroscopic inferior capsular shift stabilization is recommended. Additional basic science and clinical trials are needed to determine whether thermal capsulorrhaphy should be considered in the treatment of patients with multidirectional instability of the shoulder.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".