Language, Culture and the Global Sixties in East Pakistan
Bibliographic record
Abstract
In 1971, from the ruins of polyethnic Islamic Pakistan, Bangladesh emerged as the only linguistic nation state in South Asia. Though South Asia has always been a multilingual region with different linguistic communities concentrated in distinct territories, political divisions, based on claims to putative nationhood, centred around the two larger religious entities of the Hindus and the Muslims. Unlike Europe, language played a relatively minor role in influencing South Asian nationalisms unless linguistic identities became part of broader religious conflicts. Indeed, the South Asian subcontinent had been characterized by sectarian violence along Hindu–Muslim religious lines since the early decades of the twentieth century. In many ways such violence was informed by colonial engagement with the construction of ‘history’ and identities of South Asians. The birth of Bangladesh, based upon a shared language among Muslims and Hindus, symbolized a post-colonial journey in culture and politics. The student movement for the declaration of Bengali as one of the national languages of Pakistan in 1952 was the starting point of this journey. Police firing on the students’ movement caused the first critical public expression of disenchantment among students with the idea of Pakistan. In Dacca, Bengali cultural activists invented a tradition of celebrating martyrs’ day on 21 February, memorializing the death of students and ordinary pedestrians in police firing. The martyrs’ column, erected two days after the event, symbolized the making of a ‘secular sacred space’ reflecting a putative nation’s emotional longing. This very act inscribed the language movement on the collective memory of Bengali speakers in East Pakistan. In 1969, at the height of the global sixties, the Awami League, the principal regional organization, raised the emotive slogan ‘Brave Bengali pick up arms and liberate Bangladesh’. There was an assumption in extant literature that linguistic identity automatically trumped over religious–national identity among Bengalis. Such a discourse raises a question: why did Bengali culture and linguistic identity, which had been shared among both Muslims and Hindus, outplay religious national identity of Pakistan? This was more surprising particularly because the Pakistan movement had had such a big support among Bengali Muslims in late colonial India; in fact, the organization that spearheaded the Pakistan movement in Bengal had argued that East Pakistani cultural and literary activities should start afresh in order to break from Hindu-influenced modern Bengali literature.
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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 | 0.002 | 0.003 |
| Science and technology studies | 0.010 | 0.012 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".