Reconstructing Legitimation on Metanarrative Ruins: Postmodern Paralogical Writings in Atwood’s “Happy Endings”
Bibliographic record
Abstract
“Happy Endings”, the masterpiece of Margaret Atwood, is a significant presentation of the anxiety, suspicion and sense of insecure about the soaring development of modernization and its following consequences including the Cold War and the Feminist Movement that pervaded the Western world in the 1980s. Atwood intentionally challenges the deeply ingrained framework of grand narratives and manages to reconstruct a potential for micro-narrative legitimacy and multiple interpretations toward the uncertain future in Western world by disintegrating the conventional romantic storytelling. Drawing on Lyotard’s postmodern condition, the study explores postmodern spiritual crisis and the reconstruction of legitimation revealed in John and Mary’s deconstructed “romances” by analyzing the postmodern paralogical writings Atwood applies and highlighting their external triggers. It promotes a deeper comprehension of the intricate interplays between historical periods, ideological trends, and psychological variables.
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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 | 0.005 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.011 | 0.041 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 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".