Notes From the Field
Bibliographic record
Abstract
Blinded assessments of technical skills using video-recordings may offer more objective assessments than direct observations. This study seeks to compare these two modalities. Two trained assessors independently assessed 18 central venous catheterization performances by direct observation and video-recorded assessments using two tools. Although sound quality was deemed adequate in all videos, portions of the video for wire handling and drape handling were frequently out of view (n = 13, 72% for wire-handling; n = 17, 94% for drape-handling). There were no differences in summary global rating scores, checklist scores, or pass/fail decisions for either modality (p > 0.05). Inter-rater reliability was acceptable for both modalities. Of the 26 discrepancies identified between direct observation and video-recorded assessments, three discrepancies (12%) were due to inattention during video review, while one (4%) discrepancy was due to inattention during direct observation. In conclusion, although scores did not differ between the two assessment modalities, techniques of video-recording may significantly impact individual items of assessments.
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 | 0.002 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.213 | 0.060 |
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".