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Record W2947035383 · doi:10.1093/jahist/jaz233

Race and Nation in the Age of Emancipations

2019· article· en· W2947035383 on OpenAlexaboutno aff
Jeannette Eileen Jones

Bibliographic record

VenueJournal of American History · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicRace, History, and American Society
Canadian institutionsnot available
Fundersnot available
KeywordsCitizenshipEmancipationVisionAfrican descentGender studiesSociologyRace (biology)Meaning (existential)GenealogyHistoryAnthropologyPolitical scienceLawPoliticsEpistemologyPhilosophy

Abstract

fetched live from OpenAlex

Whitney Nell Stewart and John Garrison Marks have brought together an important group of scholars to consider how free-born, formerly enslaved, and manumitted people of African descent navigated emancipation and postemancipation across the long nineteenth century in regions as far north as Canada, as far South as Chile, and as far east as Liberia. A central argument ties together the ten essays: “the Age of Emancipations represented a crucial moment in which many people of African descent transformed the meaning of citizenship and national belonging” (p. 2). Using transnational, comparative, and local history approaches, the authors explore how Afro-Atlantic “visions of freedom” challenged racialized citizenship, settler-colonialist logic, and imperialist racial hierarchies, allowing “us to consider more fully” the relationship between race and nationhood during this period (p. 3). Julie Saville's foreword provides a valuable theoretical framework for the volume's organization around four themes—“mobility and migration,” “law and legal status,” “labor and freedom,” and “race and the public sphere.” However, readers are able to draw connections between essays outside this schema.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.764
Threshold uncertainty score0.357

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.018
GPT teacher head0.281
Teacher spread0.264 · 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 teacher head, 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
Published2019
Admission routes1
Has abstractyes

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