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Record W2904009436 · doi:10.4000/mimmoc.2731

Abolitionists, Smugglers and Scapegoats: Assistance Networks for Fugitive Slaves in the Texas-Mexico Borderlands, 1836-1861

2018· article· fr· W2904009436 on OpenAlexaboutno aff
Thomas Mareite

Bibliographic record

VenueMémoire(s) identité(s) marginalité(s) dans le monde occidental contemporain · 2018
Typearticle
Languagefr
FieldSocial Sciences
TopicLatin American and Latino Studies
Canadian institutionsnot available
FundersNederlandse Organisatie voor Wetenschappelijk Onderzoek
KeywordsFrontierIdeologyIncentiveGermanPolitical scienceRefugeeVariety (cybernetics)Political economyDevelopment economicsEconomySociologyLawGeographyEconomicsArchaeologyPolitics

Abstract

fetched live from OpenAlex

This article analyses the nature of assistance networks for slave refugees absconding from Texas to the Mexican border between 1836 and 1861. It argues that, by contrast with the more densely organized Underground Railroad that connected the US South to the northern states and Canada, structures of assistance remained fairly loosely organized and inconsistent in the Texas-Mexican borderlands, in great part due to the almost complete absence of an established and influential abolitionist network in its midst. A wide variety of actors facilitated slaves’ escape attempts to the Rio Grande/Bravo, for multiple reasons. In this expanding slavery frontier, ideological grounds to support fugitive slaves largely coexisted with economic incentives, self-interest and socio-economic proximity. Convinced abolitionists, low-skilled Mexican workers, German settlers, smugglers and frontier bandits shaped weak, unstable and ambiguous assistance networks in which the boundaries between protection, violence and exploitation often overlapped.

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)0.001
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 score0.061
Threshold uncertainty score0.120

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.003
Scholarly communication0.0020.002
Open science0.0000.002
Research integrity0.0010.001
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 head0.017
GPT teacher head0.285
Teacher spread0.268 · 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

Citations3
Published2018
Admission routes1
Has abstractyes

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Same venueMémoire(s) identité(s) marginalité(s) dans le monde occidental contemporainSame topicLatin American and Latino StudiesFrench-language works237,207