Bibliographic record
Abstract
Abstract Bankim Chatterji (1838–94) began Debī Chaudhurānī as a serial in the December 1882 issue (Bengali Era (B.E.): Paus. 1289) of the monthly journal, Bangadarśan, which he had created ten years earlier.1 Ostensibly, it is a tale set in the last quarter of the eighteenth century in the district of Rangpur situated in the northern sector of the greater Bengal of the day. A young, beautiful Brahmin woman—all of Bankim’s leading young women are beautiful—Prafulla by name, has been married off to the son of a rich landlord. The latter has refused to take her in as the result of a misunderstanding that is not her fault. He is a bigoted man who accuses his daughter-in-law of having lost caste. Consequently, she has no recourse but to live with her widowed mother in dire poverty. Before long, news reaches her in-laws that she has died. Prafulla, however, is very much alive: she had been abducted, but has escaped.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.658 | 0.449 |
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".