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Record W851169824

After the Underground Railroad: African Americans Returning from Canada and the Forgotten History of Transnational Reconstruction,

2013· article· en· W851169824 on OpenAlexaboutno aff
Adam Arenson

Bibliographic record

VenueDigitalCommons@UTEP (The University of Texas at El Paso) · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicRace, History, and American Society
Canadian institutionsnot available
Fundersnot available
KeywordsUnderground RailroadHistoryPolitical scienceLaw
DOInot available

Abstract

fetched live from OpenAlex

Canada has been understood as a Promised Land for escaping slaves. Yet after the Emancipation Proclamation, many African Americans returned to the United States—and many went back to the South, following family ties, eager to join the fight against slavery and the struggle for racial equality. Using U.S. and Canadian Census records, pension files, newspaper clippings and the occasional autobiography or papers collection, this study recovers their story. It argues that their time in Canada gave African Americans the power of comparison: When struggling for access to social and political participation in the United States, they had a reference point for formulating notions of freedom after slavery. This project places African American political actions and cultural arguments within a transnational, hemispheric context. It pieces together the meaning of the U.S.-Canada border to African Americans during the Civil War and Reconstruction, after the era of the fugitive slaves.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.050
Threshold uncertainty score0.335

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0500.020
Scholarly communication0.0070.003
Open science0.0010.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0060.000

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 head0.008
GPT teacher head0.177
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 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

Citations0
Published2013
Admission routes1
Has abstractyes

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