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Record W2504456691 · doi:10.1057/9780230598607_3

Sources of the Self and Moral Agency in The Lifted Veil, The Mill on the Floss and Silas Marner

2000· book-chapter· en· W2504456691 on OpenAlexaff
Hao Li

Bibliographic record

VenuePalgrave Macmillan UK eBooks · 2000
Typebook-chapter
Languageen
FieldArts and Humanities
TopicModernist Literature and Criticism
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsNarrativeFeelingShamePsychologyAestheticsMillSocial psychologyMisfortuneSociologyAgency (philosophy)PsychoanalysisEpistemologyPhilosophyLiteratureHistoryArtSocial science

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.936
Threshold uncertainty score0.670

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.024
GPT teacher head0.200
Teacher spread0.176 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2000
Admission routes1
Has abstractyes

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