Bibliographic record
Abstract
Einmal bekam ich mit, wie ein Schüler Viola nach ihrem Alter fragte. Mit blitzenden Augen fragte sie zurück: „Welche Rolle spielt das denn?“ Ein ähnliches Blitzen war in ihren Augen, als sie dem Publikum, das sich aus Anlass ihres 90. Geburtstags in Montreal versammelt hatte, die Frage stellte: „Und wie viele von Ihnen behandeln Kinder?“ Diese winzige, durch Osteoporose geschrumpfte Frau, starrte alle an, die sich nicht meldeten – und diese verkrochen sich in ihren Sitzen angesichts ihres unverhohlenen Blickes und ihrer immer noch kraftvollen Stimme. Viola Frymann war eine außerordentlich beeindruckende Frau, die ihren 90. Geburtstag übrigens 13 Monate zu früh feierte.
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 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 | 0.007 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 0.057 |
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; both teacher heads 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".