Searching Between the Lines: Ambiguity, Paralysis and Revisionist Readings of Joyce’s “Eveline”
Bibliographic record
Abstract
Chris Wieczorek’s “Searching Between the Lines: Ambiguity, Paralysis and Revisionist Readings of Joyce’s Eveline” is an exemplary research essay that, as its title suggests, spells out its thesis in its methodology, taking the reader step by logical step through the act and history of interpreting one of the most critically acclaimed and debated stories in James Joyce’s Dubliners. It deftly and articulately summarizes a wide range of interpretations, both traditional and revisionist, before coming up the middle to turn the light on reader response. In a collection that famously focusses on the paralysis that afflicts turn-of-thecentury Irish society, readers have traditionally focussed on Eveline’s failures, while historicist and revisionary critics have highlighted the failures of Frank, her suspiciously glib paramour. After crisply summarizing these interpretations, Wieczorek draws attention to their gaps, and argues that the story is actually about failures in the reader, who is “repeatedly forced to question, and then re-evaluate, our judgements about Eveline’s decision.” Persuasive, immaculately structured and accessibly written, this essay seems to enjoy doing what we do in English, and I think its readers will agree. —Dr. Judith Thompson
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 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 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.010 | 0.046 |
| Scholarly communication | 0.011 | 0.009 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.002 | 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".