MétaCan
Menu
Back to cohort

Fugitive Slaves and Spaces of Freedom in North America

2018· book· en· W3005675450 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity Press of Florida eBooks · 2018
Typebook
Languageen
FieldSocial Sciences
TopicRace, History, and American Society
Canadian institutionsnot available
Fundersnot available
KeywordsScholarshipUnderground RailroadRefugeeHistoryLawPolitical scienceSociology

Abstract

fetched live from OpenAlex

Fugitive Slaves and Spaces of Freedom in North America examines and contrasts the experiences of various groups of African-American slaves who tried to escape bondage between the revolutionary era and the U.S. Civil War. Whereas much of the existing scholarship tends to focus on fugitive slaves in very localized settings (especially in communities and regions north of the Mason-Dixon line), the eleven contributions in this volume bring together the latest scholarship on runaway slaves in a diverse range of geographic settings throughout North America—from Canada to Virginia and from Mexico to the British Bahamas—providing a broader and more continental perspective on slave refugee migration. The volume innovatively distinguishes between various “spaces of freedom” to which runaway slaves fled, specifically sites of formal freedom (free-soil regions where slavery had been abolished and refugees were legally free, even if the meanings of freedom in these places were heavily contested); semi-formal freedom (free-soil regions where slavery had been abolished but asylum for runaway slaves was either denied or contested, such as the northern U.S., where state abolition laws were curtailed by federal fugitive slave laws); and informal freedom (places within the slaveholding South where runaways formed maroon communities or attempted to blend in with free black populations and pass for free). This edited volume encourages scholars to reroute and reconceptualize the geography of slavery and freedom in antebellum North America.

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: Other · Consensus signal: none
Teacher disagreement score0.077
Threshold uncertainty score0.153

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 studies0.0160.025
Scholarly communication0.0060.004
Open science0.0000.007
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.011
GPT teacher head0.210
Teacher spread0.199 · 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".

Quick stats

Citations3
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueUniversity Press of Florida eBooksSame topicRace, History, and American SocietyFrench-language works237,207