সমপরতক কল শরৎ-সহতযর পরসঙগকত (Relevance of Saratchandra's Literature in Contemporary Times)
Bibliographic record
Abstract
শরৎচনদর চটটোপাধযায়, যিনি কিনা গোটা ভারতে না হলেও অনততপকষে বাংলায়, তার সময়ের জনপরিয়তম কথাসাহিতযিক, তার সাহিতয বিষয়ে পনরালোচনাই এই পরবনধের উদদেশয। হামেশাই তার সাহিতযকে সোশযালিসট এবং (সেই কারণেই) পরগতিবাদী তকমা দেওয়া হ’লেও, এই নিবনধের বকতবয, শরৎসাহিতয আসলে বেশ অনিশচয়তায় ভোগা। কষমতাহীনের পরতি অবিচার, দরবলের যনতরনা, হিনদ গোড়ামির কফল, সমাজচযতদের পরতি বৈষমযর মতো বিষয় নিয়ে লিখলেও, নিজের শরেণী এবং জাতের অবসথান থেকে নিজসব বাধা ছিল তার।This article revisits the works of Sarat Chandra Chattopadhyay (1876-1938), arguably the most popular literary practitioner of his time in Bengal, if not India. Often projected as socialist and (hence) progressive, Chattopadhyay's works, this paper argues, are in fact very ambivalent. His works do address the injustice to the powerless, the suffering of the weak, the ills of Hindu conservatism, the discrimination towards the outcasts, but he too has restraints arising out of his class-caste location.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.015 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".