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Record W1984240668 · doi:10.1353/jer.0.0058

Yeoman Farmers in a Planters’ Republic: Socioeconomic Conditions and Relations in Early National Prince George’s County, Maryland

2009· article· en· W1984240668 on OpenAlexaboutno aff
Steven Sarson

Bibliographic record

VenueJournal of the Early Republic · 2009
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHistorical Economic and Social Studies
Canadian institutionsnot available
Fundersnot available
KeywordsFellQuarter (Canadian coin)George (robot)Independence (probability theory)Economic historyTidewaterColonialismSocioeconomic statusHistoryPolitical scienceSociologyGeographyDemographyArchaeologyPopulation

Abstract

fetched live from OpenAlex

From the founding of the colonies through independence, contemporary commentators and many historians since have portrayed the independent yeoman farmer as the archetypal early American. Yet colonial Chesapeake social-economic historians have found that landownership rates in the tidewater fell from two-thirds of free household heads in the 1660s to one-half a century later. This article takes Prince George’s County, Maryland, as a test case and uses censuses and tax records to reveal that landownership rates fell further to one-third by 1800 and one-quarter by 1820. Moreover, the proportion of yeomen (broadly defined as owning 40 to 799 acres) fell from 24 percent of free householders in 1800 to under 19 percent in 1820. The decline was due to the precarious economic position of small yeomen, owners of 40 to 279 acres, who formed under 17 percent of free householders in 1800 and just 11 percent in 1820. Furthermore, while historians often portray yeomen as eschewing markets and slavery, the vast majority grew

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.073
Threshold uncertainty score0.420

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.020
GPT teacher head0.225
Teacher spread0.205 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations3
Published2009
Admission routes1
Has abstractyes

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