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Record W3081399877 · doi:10.5070/t8111047000

North American Counterterritoriality: Nineteenth-Century Black Activism and Alternative Legal Spatiality

2020· article· en· W3081399877 on OpenAlexaboutno aff
Nele Sawallisch

Bibliographic record

VenueJournal of Transnational American Studies · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicRace, History, and American Society
Canadian institutionsnot available
Fundersnot available
KeywordsPrinciple of legalityContext (archaeology)PoliticsProperty (philosophy)LawEmigrationHistoryHavenTerritorialityPolitical scienceSociologyArchaeology

Abstract

fetched live from OpenAlex

This contribution uses the terms “territoriality” and “legal spatiality” to consider how they shape our understanding of the significance of the North American border between the US and Canada (British North America) in the nineteenth century. It looks, first, at the ways in which Black intellectual leaders constructed Upper Canada as a counterterritory to the United States in the context of debating Black emigration by combining politics and geography to challenge conflicting territorialities. Canada’s ambiguous position as a safe haven under the British lion’s paw that was formerly invested in slavery and the slave trade is reinforced, second, by the increasing numbers of black fugitives onto its territories. This perceived mass exodus provoked aggressive reactions from US slaveholders who relied on the fugitive slave laws to lay claims on their “property” in the form of fugitive slave extradition cases. The activism by Black communities along the border that emerged from the crises to save fugitives from being returned to bondage, this contribution shows, enacted a form of counterterritoriality that called on the British imperial center to challenge the legality of slavery, introducing alternative forms of “legal spatiality.”

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)0.002
metaresearch head score (Gemma)0.001
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.184
Threshold uncertainty score0.366

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0140.028
Scholarly communication0.0040.002
Open science0.0010.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.033
GPT teacher head0.322
Teacher spread0.289 · 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
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

Citations1
Published2020
Admission routes1
Has abstractyes

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Same venueJournal of Transnational American StudiesSame topicRace, History, and American SocietyFrench-language works237,207