In memoriam <i>Allan Gotthelf (30 December 1942–30 August 2013)</i>
Bibliographic record
Abstract
in his apartment in Philadelphia under the care of close friends, finally succumbing to the cancer that he had battled successfully for many years.He has left behind a lasting legacy of distinguished scholarship on Aristotle's philosophy and science; but more than that, Allan was able, through his infectious enthusiasm, spirit of cooperation, and formidable organizational skills, to reshape the field of Aristotelian studies fundamentally.Not only through his scholarly publications but through his prodigious organization of workshops, conferences, summer institutes, and a truly astounding network of correspondence, which only became more astounding with the advent of the Internet, Allan was able to involve an ever expanding number of scholars in a systematic study of Aristotle's biological writings, encouraging us to consider the Generation of Animals, Parts of Animals and History of Animals as much a part of our scholarly diet as the Organon, Metaphysics, or Nicomachean Ethics.Indeed, he encouraged us to think of these investigations as sources of insight into these philosophical works and not merely as documents in the history of biology.Born in Brooklyn on December 30, 1942, Allan Gotthelf came of age during the heyday of the Brooklyn Dodgers, attending games at Ebbets Field as a young boy shortly after Jackie Robinson had joined the team, an event that left a lasting impression.He attended the highly acclaimed Stuyvesant
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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.023 | 0.020 |
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".