<i>From Calabar to Carter's Grove: The History of a Virginia Slave Community</i>. By Lorena S. Walsh. Charlottesville and London: University Press of Virginia, 2001. Pp. xxii, 335. $18.95, paper.
Bibliographic record
Abstract
Over the past quarter century, no scholar has done more to document the social history of the colonial Chesapeake than Lorena Walsh. In so doing, she has made important scholarly contributions in a variety of areas, most notably, in agricultural history, demographic history, African American history, and women's history. Along with such scholars as Lois Green Carr, Allan Kulikoff, Darrett and Anita Rutman, and Russell Menard among others in the so-called Chesapeake School, Walsh has helped to create a powerful framework for understanding the evolution of Virginia and Maryland and for interpreting the behavior of the populations residing therein. Two of the hallmarks of the work of scholars associated with the “School” are innovative methodologies and meticulous, painstaking research, both of which characteristics are readily apparent in the volume under review.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 teacher head, 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".