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Record W7133449492

Unseen Commons: Natives, Newcomers and Ideas of the Land in the Atlantic World, 1783-1870

2014· other· en· W7133449492 on OpenAlexfundno aff
David Ress, Jennifer Rose Clark, David Andrew Roberts

Bibliographic record

VenueRUNE (Research UNE) · 2014
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
FundersUniversity of New EnglandMcGill University
KeywordsOrthodoxyCommonsNegotiationPoliticsAmbivalenceDistribution (mathematics)Land tenure
DOInot available

Abstract

fetched live from OpenAlex

Ideas about the place of people on the land were still in flux when the United States won political control over the vast commons that Britain had reserved for Native Americans at the end of the American Revolution.The right to own land was not the be-all and end-all of the Atlantic World's push westward, despite the usual current interpretation. In the behaviour of the settlers, in the financial markets for warrants and other contingent claims to land, in the writings of economists and in the debates in Congress and within the Office of Indian Affairs, it is clear that the rights that the people of the Atlantic World believed they had to use land continued to encompass the idea of shared space and resources: the commons. Ambivalent sentiment about ownership is particularly evident in the negotiation and renegotiation of treaties with the Wyandot, Delaware and Seneca in Ohio as well as the disposition of the Half Breed Tracts of Iowa, Minnesota and Nebraska. Even in the latter part of the nineteenth century, when a new economic orthodoxy required ownership to explain the distribution of profit, rent and wages, the desire for commons remained strong enough to generate preservation movements.

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)0.005
metaresearch head score (Gemma)0.001
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: Other · Consensus signal: none
Teacher disagreement score0.461
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.001

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 head0.064
GPT teacher head0.366
Teacher spread0.301 · 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
GenreOther

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
Published2014
Admission routes1
Has abstractyes

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