Los Angeles Star, vol. 10, no. 48, April 6, 1861
Bibliographic record
Abstract
The English weekly newspaper, Los Angeles Star includes headings: [p. 1]: [col. 3]: "Washington in early youth", "All together", "Bulwer as an orator", [col. 4]: "The last hours of Congress -- The outgoing and incoming Vice Presidents address", "Breaking up of the House of Representatives -- Speaker Pennington's address", [col. 5]: "Atlantic items", "An island of grapes"; [p. 2]: [col. 1]: "The spells", "Postal accommodation", [col. 2]: "Correspondence -- Sacramento, March 27, 1861 -- San Francisco, March 28, 1861", [col. 3]: "From the Mojave", "Cajon Pass Road", [col. 4]: "O shame! Where is thy blush?", "The Esmeralda Mines", "The San Gabriel Silver mines", "Military ball"; [p. 3]: [col. 1]: "Silver mining laws of Azusa Mining District, San Gabriel Canon", [col. 2]: U.S. District Court, Hon. I.S. K. Ogier, Judge", "Telegraphic -- Per Pacific and Atlantic telegraph -- Arrival of the Pony Express", "Summary of news"; [p. 4]: [col. 1]: "Ned Forrest and the 'Supe'", "Fancy dances", [col. 2]: "The maiden and the hero".
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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.238 | 0.119 |
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".