Paupers and Peasants and Princes and Kings: Reconstructing Society in Late Bronze Age Greece
Bibliographic record
Abstract
Paupers and Peasants and Princes and Kings: Reconstructing Society in Late Bronze Age Greece Studies of Mycenaean Greece often focus on the vast divide between themost powerful and the least powerful individuals: the king and the officialsof the palace on the one hand, and lowly laborers on the other. Betweenthose extremes, however, were local leaders, administrators, and skilledcraftsmen whose activities we can document through texts and thearchaeological record. Thursday, October 25, Professor Dimitri Nakassis, of the University of Toronto, will present his lecture, "Paupers and Peasants and Princes and Kings: Reconstructing Society in Late Bronze Age Greece." This paper proposes a new model of Mycenaean culture that incorporates evidence about kings, slaves, and the middling ranks of society. "Professor Nakassis' talk will be a great opportunity to hear a world renowned expert on prehistoric Greece introduce his most recent and important research," says William Caraher, an Associate Professor in the Department of History. "As the Bob Dylan quote in the title of his talk makes clear, Professor Nakassis has the ability to make even the most distant past seem relevant today. His presentation will consider how individuals of middling rank served to bridge the vast gulf between the the very powerful rich and utterly disenfranchised poor in a society that is both distant from and sadly relevant to our own," says Caraher. This is the fourth annual Cyprus Research Fund Lecture. The goal of this annual talk is to bring active, exciting, up-and-coming, archaeologists or historians of the Mediterranean World to the University of North Dakota community. The Fund also supports UND research on Cyprus and a growing group of small projects involving the archaeology and history of our own community. This lecture is sponsored by Cyprus Research Fund & UND Department of History.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.005 | 0.013 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".