Bibliographic record
Abstract
CAROLINA STATE LIBRARY SACRAMENTO, CALIFORNIA TRUSTEES: ALLEN B. LEMMON, PRESIDENT, SANTA ROSA CHARLES S. GREENE,---OAKLAND BRADNER W. LEE,---LOS ANGELES JOSEPH STEFFENS,---SACRAMENTO W. C. VAN FLEET,---SAN FRANCISCO J. L. GILLIS, LIBRARIAN WM. R. WATSON, ASSISTANT. CALIFORNIA HISTORICAL DEPARTMENT, EUDORA GAROUTTE, CHIEF. Sept 12 1906 Dear Sir : We are endeavoring to obtain authors' names in full for the new card catalog of the Library, as well as signed biographical sketches to file for reference. We will consider it a favor if you will fill out the enclosed card and return it to the California Historical Department. Under "Miscellaneous notes" may be given facts of interest not included above, such as profession, public offices held, membership in learned societies and clubs, part taken in public affairs, etc. Thanking you in advance, I remain, Very truly yours, J. L. GILLIS, State Librarian. [illegible] Chief, California Historical Department. Would appreciate a picture of yourself to file with card. 03759
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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.012 | 0.004 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.903 | 0.870 |
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".