Bibliographic record
Abstract
ZULEIKHA, who was trained as a pianist in her hometown of Lahore, Pakistan, arrives in Irving, Texas after her arranged marriage to ISKANDER, but finds it difficult to get accustomed to the appurtenances, encumbrances, and perquisites of the middle-class housewife lifestyle. Despite giving birth to a son, WASIM, she quickly falls out of love with her dutiful but straight-laced husband. She begins giving private lessons, and commences an affair with PATRICK, a transplanted Canadian who is trapped in his own loveless marriage. When she gets pregnant, Zuleikha is convinced the child belongs to her husband. She ends her affair with Patrick, but Iskander finds out about it anyway. The ensuing confrontation between Zuleikha and Iskander turns into a physical altercation, during which Zuleikha, having fallen to the floor, is unable to see if Iskander stomps on her belly, or falls on her by accident as he will later claim. The trauma results in a miscarriage. The unusual set of circumstances surrounding this violent episode serves as the backdrop for the rest of the story, by catapulting this otherwise nondescript couple into the glare of the public eye. Iskander is arrested and charged with feticide, and he faces a long prison sentence under Texas law. A court order prohibits him from contacting Zuleikha and Wasim, who are taken to a shelter for Muslim women and children. There, the other domestic abuse victims view Zuleikha as someone who "had it coming" because of her infidelity, and are therefore openly hostile to her. The shelter's director, a woman named REZA, is beholden to wealthy Muslim donors, and therefore arranges for Zuleikha to meet with members of a highly controversial Islamic tribunal. Zuleikha is pressured to forgive her husband and testify in his favor, so as not draw further negative attention to the Muslim community. JANE, the District Attorney, on the other hand, initially plays nice with Zuleikha and informs her that she will devote any and all available resources in the prosecution of Iskander. When Zuleikha can't get her story straight and hesitates about testifying against her husband, however, Jane, too, turns against her. Zuleikha discovers that the DA has been caught hiding her own secrets and now faces a public confidence crisis of her own. Zuleikha comes to realize that Jane's reasons for being so gung-ho about winning Iskander's conviction have as much to do with re-endearing herself to her electorate as
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.018 | 0.006 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.031 | 0.008 |
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".