Bibliographic record
Abstract
The Virú State was a first-generation state (i.e., a state formation that evolves without contact with other states, see Spencer 2010) that developed in the Virú Valley, North Coast of Peru, between about 200 BCE and 700 CE. This state first unified the Virú Valley into a single political entity, establishing a four-tiered settlement hierarchy. At the top of this settlement hierarchy was the political capital of the Gallinazo Group, a large (ca. 10,000-14,000 people) urban center featuring civic-ceremonial and residential structures. In the first four centuries CE, the state expanded northward to the Moche and Chicama valleys, establishing a number of outposts. The development and growth of the huaca centers following Moche ideology (see Quilter and Koons 2012) caused the retreat of the Virú State in its homeland. Towards the end of its trajectory (ca. 500-700 CE), possible social and political changes led to the emergence of a new political center in the valley Huancaco, which was abandoned after a strong El Niño event (Bourget 2003; Bourget 2010; Downey 2014; Espinosa et al. 2021; Millaire 2010; Millaire and Eastaugh 2011; Millaire and Eastaugh 2014; Millaire et al. 2016). Even though no written source about this political formation and its people is available, information gathered during archaeological excavations may shed some light on the Virú State's religious practices.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.133 | 0.028 |
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".