Bibliographic record
Abstract
Note on NamesHistorians focus on change and continuity, and proper nouns pose a particular challenge in this regard.Individuals of differing times, places, or status may use various names or spellings of names to identify the same person or place, and names of people as well as places change over time.In identifying places, we generally use the modern name.Thus throughout the book we refer to the island that the Mi'kmaq called Abegweit and the French Île Saint-Jean as Prince Edward Island, even though the British gave it this name only in 1799.We also use current spelling and so drop the apostrophe from Kings and Queens Counties and write Charlottetown as one word.The conventions of scholarly writing require, quite appropriately, that we identify women as well as men by their surnames.But in places in this book, we refer to the four lady landlords who are its focus by the more familiar Anne, Jane, Georgiana, and Charlotte, the names that we began to use for them as we read their correspondence and gained insight into their lives and characters.This choice prevents confusion with relatives who share the name and provides continuity through changes in surname on marriage or when a husband inherited a title.The use of the title "Lady" also poses a problem.According to British usage, Anne, as the wife of the second Viscount Melville, and Jane, as the wife of the tenth Earl of Westmorland, were entitled to call themselves, respectively, Lady Melville and Lady Westmorland or the Countess of Westmorland.But Jane's daughter, Georgiana, was addressed or referred to in elite British society either as Lady Georgiana or Lady Georgiana Fane, as a courtesy only.Contemporaries on Prince Edward Island, however, referred to her as Lady Fane, and it is by that name that she is remembered in Island place names.
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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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.126 | 0.061 |
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".