Greenwood Family Papers, 1773-1973
Bibliographic record
Abstract
Papers, 1773-1973, of the Greenwood family. Most of the family lived in Farmington, Maine or its environs and the majority of the papers originate from their businesses and interests in the area. The earliest papers are from Joseph Greenwood of Dublin, NH. Joespeh was a leading citizen of Dublin, serving as Selectman, Treasurer, Town Clerk, schoolmaster, Justice of the Peace, and Representative to the First Provincial Congress of New Hampshire. Nathaniel Greenwood, Jr., Joseph's grandson, was the first of the family to move to Farmington, Maine in 1832 with his wife, Huldah (Howe) Greenwood. Nathaniel and Huldah had ten children, some of whom remained in the Farmington area while others moved to Massachusetts, Indiana, Kansas, and Oklahoma. Nathaniel was engaged in the lumber business and farming until his death in 1867. The latest papers are generally correspondence between members of the Greenwood family conducting genealogical research on their family. These are generally Mildred Francis Greenwood her brother, Philip Prescott Greenwood. Other family members include Julia Greenwood Brown, Harley Greenwood, Alfred Alanson Greenwood, Zina Hyde Greenwood, Orville Short Greenwood, Cora Prescott Greenwod, Jarius Lee Prescott, The family papers include correspondence, property records, legal documents, genealogical research, clippings, and other printed ephemera. Nathaniel Greenwood, Jr.'s son, Chester Greenwood was the inventor of earmuffs and two pairs are also included in the collection.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.005 | 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) | 0.197 | 0.074 |
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".