Bibliographic record
Abstract
On June 10, 1776, an enslaved woman named Florimell, described as a “Negro,” fled from her enslaver in Halifax, Nova Scotia. Among the various details designed to describe and recapture her, the advertisement noted that “she commonly wears a Handkerchief round her Head” ( Nova Scotia Gazette and Weekly Chronicle June 18, 1776). On April 29, 1794, an enslaved “NEGRO MAN” who called himself Charles fled from his owner Azariah Pretchard Senior of New Richmond, Quebec who described him in part as “speaks good English and some broken French and Micmac” ( Quebec Gazette May 22, 1794). 1 Finally, when a man described as a “Negro” named William Spencer busted out of the local Montreal jail in 1792, the jailer Jacob Kuhn described him as wearing, “a round hat and generally a wig” ( Montreal Gazette November 22, 1792). All three cases are evidence of the multi-directional processes of creolization in the Transatlantic world. Although an often overlooked region of inquiry, these examples pulled from the fugitive slave archive of Canada, expand the traditional limits of the definition and study of creolization.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.400 | 0.183 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".