2 maps of old Spanish and Mexican ranchos in Los Angeles County, 1919 & 1937
Bibliographic record
Abstract
Photograph of a map prepared by the Title Insurance and Trust Company showing the old Spanish and Mexican ranchos of Los Angeles County, 1919. The Sierra Nevada mountains run along the top of the image, and in the bottom left corner is the Pacific Ocean. Between these features is a maze of lines marking the boundaries of the old ranchos. A compass rose is at left, and the map is decorated with drawings of wagons, ships, fish, people, animals, and buildings. A box in the lower right corner provides a scale for the map in English miles, Spanish leagues and Spanish Varas.; The names of the ranchos and other landmarks are as follows, from left to right, top to bottom: Los Alamos of Agua Caliente, La Liebre, Temescal, San Francisco, Simi, Ex-Mission de San Fernando, Tujunga, La Canada, El Camino Real, Las Virgenes, El Escorpion, El Encino, Providencia, San Rafael, San Pascual, Santa Anita, Azusa de Duarte, Azusa Dalton, Addition to San Jose, El Conejo, San Vicente y Santa Monica, Los Felis, San Francisquito, San Jose, Topanga, Malibu, Sequil, Boca de Santa Monica, San Jose de Buenos Aures Rodeo de Las Aguas, La Brea, Pueblo de Los Angeles, San Gabriel Arcangel, Potrero Grande, Potrero de Felipe Lugo, Los Nogales, Rincon de Los Bueyes, Las Cienegas, La Merced, Potrero Chico, La Puente, Bay of Santa Monica, La Ballona, Cienega Paso de la Tijera, San Antonio, Paso de Bartolo, Rincon de La Brea, Sausal Redondo, Tajauta, Santa Gertrudes, La Habra, San Pedro, Los Cerritos, Los Palos Verdes, Bay of San Pedro, Los Alamitos, Isla Santa Catalina.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.044 | 0.005 |
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".