M<scp>iles</scp> O<scp>gborn</scp>. <i>The Freedom of Speech: Talk and Slavery in the Anglo-Caribbean World</i>.
Bibliographic record
Abstract
The millions of slaves who toiled and died in the Americas left little in the way of firsthand testimony. For the nineteenth-century US South, historians can rely on a vast collection of oral testimonies from ex-slaves collected in the 1930s, but there is nothing comparable for the Caribbean. Recently, slavery scholars such as Marisa Fuentes, immersed in a broader postmodern critique of the archives, have tried to reconceptualize how we use the “traditional archive” for “narrating [the] ephemeral archival presences” of the enslaved (Fuentes, Disposed Lives: Enslaved Women, Violence, and the Archive [2016], 1). Hoping to reconstruct the lived experience of the enslaved, the nature of slavery, and the capacity of slaves to resist, some scholars have turned to non-written and unconventional sources such as material artifacts or skeletal remains, while others have mined the remnants of visual cultures in the archives. Miles Ogborn’s new book The Freedom of Speech:...
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.057 | 0.014 |
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".