Sources of the Self and Moral Agency in The Lifted Veil, The Mill on the Floss and Silas Marner
Bibliographic record
Abstract
Personal memory in Eliot is an intersection of narratives of communal memory. She shares the views of several contemporary thinkers on this. 1 In her novels, communal values, assumptions and narratives need to be internalized to condition the characters effectively. The process may be carried out consciously, through the intervention of shared feelings in the process of moral conflicts, or more significantly, unconsciously, when the characters are little aware of the collective origins of their feelings. This process may be clarified with the help of Michael Polanyi’s notion of ‘interiorization’ or ‘indwelling’: ‘To interiorize is to identify ourselves with the teachings in question, by making them function as the proximal term of a tacit moral knowledge, as applied in practice. This establishes the tacit framework for our moral acts and judgments.’ 2 In The Mill on the Floss , the family traditions of the Dodsons and the Tullivers condition the personalities of Tom and Maggie. Maggie inherits the private and introvert Tulliver traits that account for her ‘imaginative and passionate nature’ ( MF , 4:2:241), whereas Tom has the Dodson sense of respectability. Facing the same kind of family misfortune, Maggie would take its impact more as guilt than Tom as shame. In Silas Marner , a certain practice passed on through history becomes a sufficient reason why it should be properly observed. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.010 | 0.027 |
| Scholarly communication | 0.011 | 0.010 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".