Bibliographic record
Abstract
The English weekly newspaper, Los Angeles Star includes headings: [p.1]: [col.3] "[From the New York Times] An uncommonly sharp female confidence operator--her extensive operation in southern cities, in California, and in Texas, with a male accomplice--the swindlers still at large", [col.4] "An Artesian well was completed at Louisville, October 12th", "Secretary Cass had been quite ill recently, but has now recovered so far as to be able to visit the Department during the day", "California grapes in New York", "The Atlantic telegraph cable", [col.5] "Baron Humbodlt [sic]"; [p.2]: [col.1] "The recent execution", "The Illinois election", "The late State Agricultural Fair--the premiums", "Premium for grape culture", [col.2] "The Gila gold mines", "The steamer 'Comet'", [col.3] "By the overland mail", "Execution of Pancho Daniel", "Lee's circus", [col.4] "District Court--First Judicial District, Hon. Benj. Hayes--Judge", "City improvements", "Lt. Beale's party and the U.S. troops", "Comanches and the United States"; [p.3]: [col.1] "State of California, County of San Bernardino, in the District Court of the First Judicial District", The Paraguay expedition", "State of California, Los Angeles County, in the District Court of the First Judicial District"; [p.4]: [col.1] "By authority. By the President of the United States".
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 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.172 | 0.102 |
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".