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Record W4392417239 · doi:10.5771/9781538174982

Archaeology, Sexism, and Scandal

2023· book· en· W4392417239 on OpenAlexaboutno aff
Alan Kaiser

Bibliographic record

VenueRowman & Littlefield Publishers eBooks · 2023
Typebook
Languageen
FieldSocial Sciences
TopicHistorical and Cultural Archaeology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsArchaeologyHistory

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.996
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.010
Scholarly communication0.0070.003
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.002

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.

Opus teacher head0.030
GPT teacher head0.269
Teacher spread0.240 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

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