Bibliographic record
Abstract
The English weekly newspaper, Los Angeles Star includes headings: [p.1]: [col.3] "Democratic State Convention", "The loved and lost", [col.4] "A proclamation from a presidential joker. Abraham's instructions to his provost marshals", "return of Mr. Vallandigham", [col.5] "Lincoln and Johnson", "Wine making in Connecticut"; [p.2]: [col.1] "The foregoing is from the Alta of a recent date", "St. Louis, July 28 ...", [col.2] "The suppression of the press", "American Literary Gazette and publishers' circular", [col.3] "Correspondence", [col.4] "Telegraphic certainties", "The burning of Chambersburg", 'Last evening Minette's brigade of cavalry drove Hampton's troops ...", "New York, July 31 ...", [col.5] "Eastern intelligence"; [p.3]: [col.1] "The reign of terror", "Col. C. L. Weller arrested by the military", "Headquarters Army of the Potomac. July 30", [col.2] "Bishop Kavanaugh at liberty", "California cotton plantation in Mexico", [col.3] "District Court of the First Judicial District, State of California, Los Angeles County", [col.4] "Sheriff's sale", [col.5] "Sheriff's sale"; [p.4]: [col.1] "Somebody's darling", "The heir to the British Throne always in opposition", "Gen. Lee before his men", [col.2] "Death of George P. Morris", "Claims them all", [col.3] "Truckee Meadows", "Topography of the Chickahominy", [col.4] "Coming home", "Democratic platform".
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 | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 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) | 0.249 | 0.130 |
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".