Geophysical Survey on the Coast of Peru: The Early Prehispanic City of Gallinazo Group in the Viru Valley
Bibliographic record
Abstract
Recent geophysical survey at the early urban center of the Gallinazo Group in the Virú Valley highlights the potential for a multifaceted approach to remote sensing on the desert coast of South America and underscores the value of these well-established techniques for the rapid and detailed mapping of complex urban architecture. The Gallinazo Group (100 B.C.-A.D. 700) was an early city home to a population of between 10,000 and 14,400 people living in a network of agglutinated houses, plazas, public buildings, and alleyways. In 2008, detailed analysis of the site was undertaken, integrating traditional excavation techniques, soil coring, magnetometry, and ground-penetrating radar to gain a better understanding of the urban morphology of the site. The results of this fieldwork were extremely successful, with large areas of the urban layout being mapped in great detail. This article presents results from our survey, highlighting the potentials and limitations of each technique.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".