Bibliographic record
Abstract
The weekly newspaper has p.[1-2] in English and p.[3-4] in Spanish. Los Angeles Star in English includes headings: [p.1]: [col.3] "Legal notices", [col.4] "The overland emigration", "Ravages of the Indians in Mexico", [col.5] "Gold in England", "From San Jose", "Anecdote of the Sultan", "jerusalem and M.de Rothschild", "Pensylvania"; [p.2]: [col.1] "Terrible events. -- Murder and its prompt punishment", [col.4] "Party nominations", "The Salt Spring mine", "A meeting of the citizens of Santa Barbara County, held at Moore's Hotel, on the 26th of July".; La Estrella in Spanish includes headings: [p.3]: [col.1] "Ejecucion de dos asesinos en esta ciudad", [col.2] "Saqueos que tienen de cometer los yndios en la Republica de Mejico", "Una reclamacion grande", "Espulsion de los estranjeros de las minas", [col.3] "revelaciones Astronomicas", [col.4] "Leyes del estado", [col.5] "Aviso Oficial. Estado de California. Condado de Los Angeles", "Linia esteblecida de vapora correros", "School land warrants"; [p.4]: [col.1] "Le Emperatriz Jozefina y la Sultana Madre de Mahmond II", "Leyes del estado", [col.5] "A Los Duenos de terrenos de California".
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.145 | 0.070 |
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".