Bibliographic record
Abstract
The 1767 decision to divide Prince Edward Island among elite British grantees shaped Island history for more than a century. Lady Landlords of Prince Edward Island examines this history through the lives of four women who, due to the vagaries of family formation and inheritance, became Island landlords. As absentee owners of large estates, each of the four women faced challenges from those who wanted land redistributed in freehold lots to actual settlers. Their individual management strategies were determined in part by class standing and marital status, as well as individual eccentricities and prejudices. Drawing on family and official papers, Rusty Bittermann and Margaret McCallum provide engaging portraits of these women - orphaned heiress, prudent wife and property manager, countess estranged from her husband, independent spinster - as they negotiated relations of power and privilege in a domain dominated by men. Lady Landlords of Prince Edward Island is a compelling narrative that provides a unique perspective on landed society in England in the age of industrialization and reform, making an important contribution to trans-Atlantic, British social, legal, and women's histories.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.019 | 0.003 |
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".