Bibliographic record
Abstract
There is evidence throughout the stories, and in Joyce's letters, to show that Dubliners should be considered as a single entity rather than as a series of unconnected short stories. This thesis examines Joyce's presentation of Dublin's middle class as a unifying principle underlying the whole work. Joyce believed that his city was in the grip of a life-denying "paralysis", and this thesis studies his attempt in Dubliners to relate that paralysis to those attitudes towards experience which his Dubliners hold in common. The stories in Dubliners are grouped to form a progression from childhood through adolescence to maturity and public life. This progression reveals the nature of Dublin's middle class and its effect on its individual member throughout his life. Childhood is a time of comparative freedom, and adolescence shows the individual's increasing conformity to the standards and values of his class. By the time he reaches maturity he is totally trapped in that paralysis reflected in the corruption of the public institutions. The nature of the middle class is revealed by four sub-themes which I designate: "religion," "adventure", "love", and "culture". For the purposes of this analysis the stories are grouped according to these thematic divisions, but Joyce's own order is always taken into consideration. Chapters 1 to IV each examines one of these sub-themes. In Chapter V, "The Dead", which embraces all of these aspects of experience, is treated separately.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.026 | 0.041 |
| Scholarly communication | 0.012 | 0.006 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.002 | 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".