Bibliographic record
Abstract
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 machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.028 |
| Scholarly communication | 0.012 | 0.012 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".