Cross-Pollination of Freudian Psyche and Kantian Imperatives in Dubliners
Bibliographic record
Abstract
The foundation of Dubliners of James Joyce was laid on the cross-pollination of Freudian and Kantian theories. Cross-pollination of Kantian imperatives and Freudian psyche is conspicuous in ‘Eveline’ and ‘Painful case’ in Dubliners, where lies the focal point of this analysis. Cross-pollination is highly obvious in the protagonists of two short stories ‘Eveline’ and ‘Painful case’. Psychological and scientific analysis of the characters brought the embedded cross-pollination into the limelight. For Freud, humans exist as a composite of a natural, biological matrix (termed unconsciousness) and another part, the conscious ego (Tauber, 2009). Sigmund Freud’s super-ego is the womb of guilt feeling, which functioned so well in the characters of Joyce. The explicit dilemma of Eveline and the implicit dilemma of Mr. Duffy have been analyzed through the lens of Kantian imperatives.
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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 | 0.007 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.011 | 0.065 |
| Scholarly communication | 0.011 | 0.011 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
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".