Bibliographic record
Abstract
El Museo Nacional, dirigido por Luis E. Valcárcel desde 1931, publicó la Revista del Museo Nacional a partir del año 1932. El presente volumen N° XL, fue publicado en 1974. Contenido: “Arquitectura y patrones de establecimiento en el valle de Casma”; por Donald E. Thompson – “Agricultura de chacras hundidas en el antiguo Perú”; por Jeffrey R. Parsons y Norbert P. Psuty – “Los reinos post-Tiwanaku en el área altiplánica”; por Luis Guillermo Lumbreras – “El dorado de metales en el Perú precolombino”; por Heather Lechtman – “El muestreo en la excavación de sitios urbanos. El caso de Huánuco Pampa”; por Craig Morris – “Maíz prehispánico del valle de Cajamarca, Perú”; por Alex Grobman y Rogger Ravines – “Ecología de la expansión de los quechua-hablantes”; por William H. Isbell – “El habitat de la etnía Pinagua. Siglos XV y XVI”; por Waldemar Espinoza Soriano – “Un movimiento mesiánico en Lircay, Huancavelica ( 1811)”; por Franklin Pease G. Y. – “La expansión comercial británica en el Perú”; por Heraclio Bonilla – “El lugar del hombre en el ecosistema andino”; por Stephen B. Brush – “Más allá de la familia nuclear”; por Enrique Mayer – “Análisis preliminar del parentesco y la familia de clase media de la ciudad del Cuzco”; por Gabriel Escobar – “Estructura semántica del parentesco Machiguenga (Arawak)”; por André-Marcel d'Ans – “Las antigüedades peruanas y su protección legal”; por Rosalía Avalos de Matos y Rogger Ravines – “Bio-bibliografía de Jorge C. Muelle. Rogger Ravines, Duccio Bonavia y Rosalía Avalos de Matos -- Índice acumulativo de los tomos XXXI-XL
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.170 | 0.065 |
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".