Comparative perspectives on the archaeology of coastal South America
Bibliographic record
Abstract
The bilingual conference from which the present volume emerged was conceived as a response to this situation, and was held in Lima, Peru in August of 2007. Conference participants were drawn from universities in Canada, Chile, Ecuador, Peru, Spain, and the United States to speak about their ongoing research along the Pacific coast of South America. By organizing sessions not by geographic zone but around common themes and questions, such as the mechanisms of state expansion or the emergence and maintenance of sociopolitical complexity, we hoped to facilitate a comparative approach to prehispanic coastal societies. We encouraged participants to emphasize not high theory or case-specific empirical details, but rather discuss concrete attempts to link research questions and methodology and place their work in broader comparative frameworks relevant to the coast. In addition to facilitating useful comparisons of diverse coastal cases and bringing to light fresh perspectives on the archaeology of the coast, we hoped that the conference would help build common ground for scholars working in different parts of the coast and contribute to lasting collaborative ventures between archaeologists working in Ecuador, Peru, and Chile. This volume contains eleven papers originally presented at the 2007 conference. In keeping with the original goals of the conference, papers are presented in both English and Spanish, and the volume is co-published by the University of Pittsburgh, the Pontificia Universidad Católica del Perú, and the Ministerio de Cultura del Ecuador.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.008 |
| Science and technology studies | 0.009 | 0.011 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".