Bibliographic record
Abstract
This hand-held, self-retaining retractor (Fig. 1) can be found in operating theatres around the world; however, its creator has been somewhat forgotten to history. This is particularly noticeable in English-speaking centres, as it is often referred to as the Wheatlander, Weetlaner, or even just ‘Wheatie’, and not by its proper name, the Weitlaner (pronounced VIGHT-lahn-er). Franz Weitlaner (Fig. 2) was born on 17 September 1872, in the town of Welsberg, a German-speaking municipality in the South Tyrol province of northern Italy, in the foothills of the Dolomite mountains, a range that is part of the Alps, and, as of 2009, a UNESCO World Heritage site. Initially studying theology at the Diocesan Seminary, Franz switched from theology to medicine, beginning his studies at the age of 20 years at Innsbruck Medical University. This historic university was inaugurated by the Holy Roman Emperor Leopold I on 15 October 1669. Weitlaner obtained his doctorate of medicine from the university in 1898, and, after completing his clinical training in 1902, served as a ship’s surgeon with the Austrian Lloyd Shipping Company, sailing to countries in Asia, and writing on various topics including sea-sickness, syphilis, and plague. Following his nautical adventures, Weitlaner returned to terra firma, marrying a classical pianist named Leopoldine Kraubmann in 1903, and settling in the remote village of Ottenthal, in the northeast of Austria. It was here, where he ran a general practice with no assistants available, where necessity led to the birth of his invention.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.123 | 0.073 |
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".