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Record W7010295553

Greenwood Family Papers, 1773-1973

2015· article· en· W7010295553 on OpenAlexaboutno aff

Bibliographic record

VenueDigitalCommons (California Polytechnic State University) · 2015
Typearticle
Languageen
FieldEnvironmental Science
TopicAmerican Environmental and Regional History
Canadian institutionsnot available
Fundersnot available
KeywordsEconomic JusticeFamily businessProperty (philosophy)Quarter (Canadian coin)
DOInot available

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.809
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.003

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.

Opus teacher head0.015
GPT teacher head0.184
Teacher spread0.169 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2015
Admission routes1
Has abstractyes

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