Material Worlds: Interdisciplinary Approaches to Contacts and Exchange in the Ancient Near East : Proceedings of the Workshop held at the Institute for the Study of the Ancient World (ISAW), New York University 7th March 2016
Bibliographic record
Abstract
Cultural contacts and exchange are constituents of human behavior – ancient and modern. Within archaeology, particularly in that of Western Asia, the topic and related phenomena have been intensively studied during the last decades, leading to a re-evaluation of the cultural and economic, as well as physical landscapes throughout the ancient Near East. The eleven contributions in this book were delivered at a workshop held in 2016 at NYU’s Institute for the Study of the Ancient World by renowned experts in their fields. They address the history of contacts and exchanges in the Bronze and Iron Ages using case studies from different regions and based on different types of sources. The contributions illustrate that the geographical dimension of cultural contacts and exchange networks within West Asia extends far beyond the boundaries of the previously defined contact zone of the ‘Ancient Near East’ and that other systems existed in adjacent regions (Egypt, Arabia as well as Iran, Central Asia, Africa, India, and South Asia), suggesting that the West Asian networks were also part of larger ones. At the same time, it has become clear that a closer look at single case studies of specific material culture datasets is important to better understand the dynamics, scale(s), and extent of contacts and exchanges. Contributing authors: Gojko Barjamovic (Harvard University), Celia J. Bergoffen (Fashion Institute of Technology, New York), Lorenzo D’Alfonso (NYU, New York), Nancy A. Highcock (The British Museum, London), Robert W. Homsher (San Francisco), Alice M. W. Hunt (University of Georgia, Athens), Marta Luciani (University of Vienna), Maria Grazia Masetti-Rouault (École Pratique des Hautes Études, Paris), Beate Pongratz-Leisten (NYU, New York), Lisa Saladino Haney (Carnegie Museum of Natural History, Pittsburgh), Jonathan Valk (University of Helsinki).
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.007 | 0.012 |
| Scholarly communication | 0.011 | 0.011 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.009 | 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".