Interrater Reliability in Grading Abstracts for the Orthopaedic Trauma Association
Bibliographic record
Abstract
Only a small proportion of submitted abstracts to the annual meeting of the Orthopaedic Trauma Association can be accepted for podium presentation. Annual program committee members must ensure that the selection of abstracts is free from bias and transparent to investigators. The objectives of this study are to examine the consistency of reviewers in grading abstracts submitted for podium presentations at the 2001 and 2002 Annual Meetings of the Orthopaedic Trauma Association and to evaluate whether the grades of the actual podium presentations at the meeting are consistent with the grades based on abstracts only. Reviewers independently graded all abstracts submitted to the Orthopaedic Trauma Association for presentation in a blinded manner. Abstracts submitted by members of the review panel were independently adjudicated by six reviewers who were not members of the committee. Before final decision-making, all reviewers met to discuss the abstracts submitted for oral presentation. Among the 440 papers reviewed in 2001 and 438 papers reviewed in 2002, the interreviewer reliability for abstract review was 0.23 and 0.27, respectively. Despite disagreements in the quality of the abstracts, reviewers achieved consensus by discussions to determine the final program. Agreement among unblinded reviewers of the 67 and 73 podium presentations during the 2001 and 2002 meetings, respectively, did not improve interreviewer agreement. Of the papers of the 2002 meeting that ultimately ranked in the top 20 after the full presentation of the papers, 15 papers originally had been ranked less than 20 in the initial grading. Only one of the top three papers of the meeting originally was ranked in the top three before the meeting.
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 | 0.472 | 0.692 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.004 |
| Bibliometrics | 0.014 | 0.007 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".