Bibliographic record
Abstract
Archaeology, Sexism, and Scandal tells the hidden tale behind one of the great American excavations in Greece. In the 1930s, David Robinson’s project on ancient houses became the first of its kind and fundamentally altered what classical archaeologists’ study. Alan Kaiser documents previously unknown details of the Olynthus project through lively photographs and enthusiastic letters of one of Robinson’s trench supervisors, Mary Ross Ellingson. He also reveals the plagiarism of Ellingson’s work by Robinson, and how others in the field were complicit in the theft. This revised edition narrates the consequences of the first edition’s publication. People who knew Ellingson, Robinson, and others mentioned in the book contacted Kaiser to share with him important details he could never have known. Enough new information has come to light in archives from Canada to Greece to require a retelling of the archaeology, sexism, and scandal associated with the Olynthus excavation. Kaiser also includes never-before published photos that tell the story further in a way words cannot. And in a twist neither Ellingson nor Robinson could ever have seen coming, Kaiser reports on one last extraordinary action the book inspired, a petition to the Library of Congress to add Ellingson’s name to the two Olynthus volumes that her stolen works are in.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.008 | 0.020 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".