Bibliographic record
Abstract
Using a number of structurally innovative novels from the 1970s, 1980s and 1990s as a basis for study, this dissertation examines the representation of communities in postmodernist American fiction. While novels have often been critically studied from the standpoint of the individual and society, here the often neglected category of community is put under scrutiny. Yet rather than considering it from a sociological point of view, which can potentially favour historical, economic or political grounds for community, this study focuses on the ontological binds formed between individual and community. On one level this study connects formal qualities of postmodernist novels to a representation of community – especially literary conventions from the past that are foregrounded in the present texts. On another level it interrogates the limits of the individual in relation to others – how we emerge from others, how we are discrete from others, how much we can actually share with others, at what cost we stay or break with the others who have most influenced us. The primary novels studied here, each of which is deeply invested in the community as a locus for ontological interrogation, are Robert Coover’s "Gerald’s Party" (1985) and "John’s Wife" (1996), Gilbert Sorrentino’s "Crystal Vision" (1981) and "Odd Number" (1985), Harry Mathews’s "Cigarettes" (1987), Joseph McElroy’s "Women and Men" (1987), and Toni Morrison’s "Paradise" (1997). Despite their varied representations of and attitudes toward the individual in community, these texts share a common spectre of American Romanticism that inflects how we read the possibility of community in the postmodernist period.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.031 |
| Scholarly communication | 0.007 | 0.009 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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".