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The Underground Railroad in “Indian Country”

2018· book-chapter· en· W2946830589 on OpenAlexaboutno aff
Roy E. Finkenbine

Bibliographic record

VenueUniversity Press of Florida eBooks · 2018
Typebook-chapter
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsGeographyTreatySettlement (finance)White (mutation)ArchaeologyFrontierPopulationHistoryParadeEthnologyAncient historyLawPolitical scienceDemographyPaymentSociology

Abstract

fetched live from OpenAlex

From the establishment of the Greenville Treaty Line in 1795 to Wyandot removal in 1843, northwest Ohio constituted a “land apart” from the waves of white settlement that overwhelmed the eastern part of the Old Northwest. Native Americans—primarily Shawnee, Ottawa, and Wyandot—constituted the dominant population there, in what was often referred to as “Indian Country.” This region lay astride the primary northbound routes traversed by fugitive slaves from Kentucky, western Virginia, and beyond, heading to Canada via the Detroit River borderland or the western half of Lake Erie, and freedom seekers were frequently assisted by Native Americans. This chapter explores two regions in particular. One is the stretch of Ottawa villages along the Maumee River, where runaways were welcomed and protected, then taken to Fort Malden, Upper Canada, each year when Ottawa warriors went to receive their annual payment of goods for fighting on the British side during the War of 1812. The other is the Wyandot Grand Reserve at Upper Sandusky, which sponsored a maroon village of fugitive slaves called Negro Town for four decades. These two case studies serve as a point of departure for arguing that “Indian Country” was a unique space of freedom.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.435
Threshold uncertainty score0.875

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0110.009
Scholarly communication0.0050.002
Open science0.0010.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0100.002

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 head0.012
GPT teacher head0.192
Teacher spread0.179 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

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Citations0
Published2018
Admission routes1
Has abstractyes

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Same venueUniversity Press of Florida eBooksSame topicCanadian Identity and HistoryFrench-language works237,207