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Record W4380684303 · doi:10.1007/978-3-031-13260-5_25

Slavery in the US South

2023· book-chapter· en· W4380684303 on OpenAlexaboutno aff
Damian Alan Pargas

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicColonialism, slavery, and trade
Canadian institutionsnot available
Fundersnot available
KeywordsEmancipationRefugeeSpanish Civil WarDominance (genetics)PopulationGeographyEconomic historyInstitutionHistoryPolitical scienceEthnologyAncient historyArchaeologyDemographyLawSociologyPolitics

Abstract

fetched live from OpenAlex

Abstract Between the American Revolution and the US Civil War, the geography of slavery and freedom in North America changed radically. In some respects, this was an age of emancipation. The northern US, Canada, and Mexico all abolished slavery in this period, and the transatlantic slave trade itself was abolished in 1808. In the southern US, however, slavery underwent an enormous expansion—from the Atlantic seaboard to Texas—mainly as a result of the successful introduction of cotton in the newly acquired lands of the southern interior. In the age of the “second slavery,” southern slavery grew at an unprecedented rate and became characterized by a number of unique features, including a slave population that was almost entirely born in slavery; the development of a massive internal slave trade that wrought havoc on slave communities; the dominance of cotton plantation agriculture in the lives of most enslaved people; the adaptation of slavery to urban settings; the curtailment of manumissions; and the rise of a continent-wide refugee crisis, as freedom seekers fled to parts of the continent where slavery had been abolished. This chapter will explore the institution of slavery in one of its most well-known contexts.

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 score0.026
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0130.001

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 head0.059
GPT teacher head0.296
Teacher spread0.238 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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