Sell, Paul Stuart, collection, 1887-1981
Bibliographic record
Abstract
Dr. Paul Stuart Sell was a longtime dentist, practicing in Independence, Kansas, and an avid musician. This collection of materials includes photographs, sheet music, songs and song books he used to play at events, and miscellaneous artifacts. The Paul Stuart Sell Collection is divided into three series: Photograph, Music and Miscellaneous. The Photograph series contains photographs of Paul Sell at various stages of his life, and of his father, John Sell. There are photographs of his store, Cherryvale, and the Girard Fire Department. The Music series includes eleven pieces of sheet music that he composed. There are sixteen different song lyrics by him and, a printed programs and play lists. There is also a song book and five different Christmas Carol books. There are two copies of hymnals. The Miscellaneous series consists of two letters, to Sell and to Ray Fennimore, a flyer of a Christian education program, a copy of “Jack Horner” (most likely written by Sell or one of his sons), a sheet of unused letterhead from Sell and Son, Girard, and an autographed LP album entitled “St. George Serbian Orthodox Church Presents Kornelije Stankovich in Songs from the Montreal Expo’67 Program”, Dean Croxton, Director.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.204 | 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".