Bibliographic record
Abstract
Miniaturist as Jane Austen is, she has depicted the life of a few families. In her letter to her niece, Anna Austen, she writes: "three or four families in a country village is the very thing to work on"(Chapman's Edition, 1970, P.10). Jane’s knowledge about these families is, in no way shallow. It is rich in variation and contrasts. Jane Austen is a great novelist due to the universal significance of her novels. This universal significance is achieved in two ways. First, she creates living characters; she penetrates beneath the surface to the underlying principles of personality. She has a full understanding of human psychology and this enables her to draw intricate and complex natures. She lays bare not only the processes of their minds but also those of the heart. Second, she considers them impartially and shows them compounded both of faults and virtues like human beings. They have a universal significance; they are not national types, but representatives of essential human nature. They reveal the weaknesses and virtues of human nature in every age and country. There has been insufficient attention focused on Jane Austen’s father figures: how she created characters and what character types and father figures emerge in the full range of her stories. Characters are centre front in her stories, many of which are chiefly fine vignettes, and in Austen's theoretical statements she has consistently stressed the importance of character creation. The objective of this research is to shed light on those father figures who are the heads of the central families in Jane’s six novels.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.005 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.006 |
| Insufficient payload (model declined to judge) | 0.008 | 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".