Bibliographic record
Abstract
George R. Rapp, fondly known as Rip, personifies the discipline of geoarchaeology-employing geological methods and theories to help solve archaeological problems and understand our human past.This issue of Geoarchaeology: An International Journal includes six articles written specifically in honor of Rip's enduring commitment to the research and teaching in the application of earth science to archaeology.Rip earned his BA in geology and mineralogy from the University of Minnesota in 1952, and PhD in geochemistry from Pennsylvania State University.His early professional interest in earth science was influenced by John Gruner (a mineralogist), Sam Goldich (a chemical petrologist), and Herb Wright (a Quaternary geologist) at the University of Minnesota, as well as O. F. Tuttle (a chemical geologist), J. V. Smith (a crystallographer), and Rustum Roy (a materials scientist).Rip's conversion to geoarchaeology occurred in 1966 when William A. McDonald, the late Regents' Professor at the University of Minnesota, invited him to join the Minnesota Messenia Expedition as associate director.Since then, he has carried out a wide variety of research programs in geoarchaeology involving sites and regions in Greece, Cyprus, Turkey, Egypt, Israel, Tunisia, and China, as well as Minnesota.Rip has been instrumental in promoting the application of scientific techniques and methods to the solution of archaeological problems, particularly in the Mediterranean.Rip's zealous endeavor has resulted in many books and articles, dealing with a wide range of aspects of the scientific applications into archaeological research.His active teaching career has cultivated a group of researchers committed to following his example of enriching our archaeological understanding of the human past by means of natural scientific methods.Rip's extraordinary academic career has earned him several national awards from various professional communities.The first Archaeological Geology Award of the Geological Society of America went to him in 1984 in recognition of his devotion in creating the Division of Archaeological Geology, and for his achievements in the promotion of a unique area of interdisciplinary research at the interface between geology and archaeology.In 1993, the award was officially renamed the "Rip Rapp Archaeological Geology Award" in honor of Rip's contribution to geoarchaeology).He also received the Pomerance Award of the Archaeological Institute of
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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 | 0.013 | 0.037 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.043 | 0.017 |
| Scholarly communication | 0.019 | 0.017 |
| Open science | 0.003 | 0.014 |
| Research integrity | 0.016 | 0.043 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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.
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".