Scrutinising the Moon: Randa Jarrar’s “The Lunatic’s Eclipse” Under a Postmodern Lens
Bibliographic record
Abstract
This paper aims to investigate the short story “The Lunatic’s Eclipse” by the Arab-American Randa Jarrar and explain the postmodern techniques represented through the different functions of the moon. The study is qualitative research that employs postmodern strategies of magic realism, metafiction, carnivalesque, and intertextuality as the study's methodology. Through these strategies, the story blurs the boundaries between reality, magic, and fiction and unites them in one entity to highlight themes of freedom, happiness, and self-reliance. Therefore, the study relies on postmodern theorists' ideas and theories on these strategies, including Jean-Francois Lyotard, Linda Hutcheon, Franz Koh, Mikhail Bakhtin, Gerard Genette, and William Gass. The moon is also employed as a structure for the story and a theme that unites all the parts of the story together. The characters are also given names that mean different phases of the moon in Arabic. Jarrar uses the moon to resist stereotyping Arab women as weak and submissive.
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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.014 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| 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".