Remembering against sentimentality: Partition’s literary shadows in the work of Najm Hosain Syed
Bibliographic record
Abstract
Although Punjabi is written in two different scripts in India and Pakistan, there are striking parallels between the literary work in Punjabi produced on both sides of the India and Pakistan border that divides Punjab. Modern Punjabi literary works on both sides of the border express a generally progressive ( pragatīvādī , taraqqi pasand ) set of political and social commitments; this is in keeping with the broader history of modern vernacular literary production in South Asia (Gopal, 2005). This essay explores further dimensions of the parallel literary commitments on both sides of the border, read against the legacy of the Partition, though a close reading of the works of Najm Hosain Syed (b. 1936), a leading writer in the Punjabi language advocacy movement in Pakistan. This exploration seeks to analyze the ways the Partition is configured in Syed’s work, and how he works to bring the past into the present — and the present into the past — against a kind of sentimental nostalgia that disengages from the political present.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".