NAMING, AGENCY, AND “A TISSUE OF FALSEHOODS” IN <i>THE HISTORY OF MARY PRINCE</i>
Bibliographic record
Abstract
THE 1831 SLAVE NARRATIVE THE HISTORY OF MARY PRINCE is generally thought to be Mary Prince’s autobiography.1 However, there is reason to believe that neither the narrating voice nor Prince’s name are actually hers, and that the agency ascribed to her in this narrative may be more representative of the agendas of external creators of the text than of Prince herself. In The History of Mary Prince, Prince’s name appears in various forms (Mary Prince, Mary Princess of Wales, Mary James, and Molly Wood) each of which reflects the objectives of different editors and owners. Editorial and mediatory figures such as Thomas Pringle, Susanna Moodie (née Strickland), John Wood, Moira Ferguson, and Ziggi Alexander manifest their influence in intrusions into the narrative, appendices, editorial prefaces, and introductions, all of which serve to construct Prince in ideologically and politically loaded ways, and which, in many cases, actually change her name by so doing. These givers of names generally attempt to hide their manipulations, and inadvertently also hide Prince.
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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 | 0.007 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.021 | 0.068 |
| Scholarly communication | 0.011 | 0.007 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| 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".