:Becoming African in America: Race and Nation in the Early Black Atlantic
Bibliographic record
Abstract
James Sidbury has situated his exploration of African identity formation (or rejection) squarely within the framework of the anglophone “Black Atlantic.” Bringing an innovative and exciting approach to the study of African American identity, African nationalism, and pan-Africanism, he argues that in North America and England the “African” identity that developed through the discussion of greater political autonomy, abolition, and socioeconomic improvement was based upon a troubled interplay with the memory of indigenous culture in Africa and uneven possibilities for black self-determination in America. Sidbury traces the development of a discourse on African identity and nationalism from the late eighteenth century into the first half of the nineteenth century by following specific black authors and orators and groups of blacks influenced by them. He explains the disappointments that shaped the black Loyalist experience in Nova Scotia and subsequently in Freetown, Sierra Leone. Those earlier emigration projects would influence subsequent ideas, rhetoric, and practice as blacks sought various means of self-expression. Beyond this, however, Sidbury teases out the historical transformative process that forged the discourse as well as its practical manifestation through the actions of peoples of African descent in the anglophone Atlantic world. Through this detailed examination Sidbury explains how the notion of African unity was developed and defined, whether through blood kinship or through historical processes such as the shared oppression of enslavement.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.004 | 0.007 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".