Objective Predictors of Grit, Self-Control, and Conscientiousness in Orthopaedic Surgery Residency Applicants
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
INTRODUCTION: The purpose of this study was to identify objective predictors of grit, self-control, and conscientiousness in orthopaedic surgery residency applicants. METHODS: The following attributes were assessed in 455 applicants: grit, self-control, conscientiousness, consistency of interest, perseverance of effort, and ambition. These measures were correlated with standard, objective demographics obtained during the application process. RESULTS: Alpha Omega Alpha status, additional degrees, and number of publications did not predict any of the studied attributes. Grit increased with age (P < 0.001) but decreased with increasing board scores (P = 0.004). Former collegiate athletes demonstrated greater grit (P < 0.001), consistency of interest (P = 0.007), perseverance (P = 0.006), and self-control (P = 0.019). Female applicants demonstrated more grit (P = 0.044), consistency of interest (P = 0.003), and conscientiousness (P = 0.029) than males. Applicants with military experience had increased ambition (P = 0.033) and conscientiousness (P = 0.001). CONCLUSION: Overall, orthopaedics applicants possess increased grit compared with the general public, and a number of objective variables reliably predicted the studied attributes. LEVEL OF EVIDENCE: Level III, Cross-sectional study.
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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it