Bibliographic record
Abstract
It is only by undertaking comparative work that one can begin to study juvenilia as a genre. Hence my project here of linking two young writers of the same period, Jane Austen and Anna Maria Porter. These two girl authors were roughly the same age when they were writing: in their teens. Jane was born in 1775, Maria (as she was known in the Porter family) in 1780. (I call them “Jane” and “Maria” as girls, and reserve the last names for reference to their mature works.) Jane Austen’s life, 1775 to 1817, is already well known. Anna Maria Porter’s’ dates are 1780 to 1832. Her older sister Jane Porter, author of The Scottish Chiefs among other things, is perhaps better known. But Anna Maria Porter published a number of historical romances, not unlike some of Scott’s – and Scott was a neighbour and friend of the Porter family. They include, for instance, The Lake of Killarney (1804), The Knight of St. John (1817), and Octavia (1833). They were popular at home and abroad, and were often reprinted.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.010 | 0.023 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 0.002 |
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".