Dialogic Reading of African Literature in Bengali: A Study from Bangladeshi
Bibliographic record
Abstract
Translation is always dialogic as it requires dialogues between two different languages, cultures, texts and authors and literature is usually defined by its content and its attachment with the realities out of which it emerges, not by its language. Modern African litera-ture has reached the international readership mostly in the English language even though French and Portuguese languages have become a very considerable media of it. Africa, with its more than two thousand languages, can be comprehensible to a huge number of monolingual, bi-lingual and multilingual readers of the world through translation in the language of the local readership. In Ban-gladesh the majority of readers are mostly monolingual. So, to be comprehensible to the Bangladeshi readership African literature re-quires to be translated into Bengali. Many prominent translators have translated and are still translating a considerable number of African literary texts. But it is noticed that the speed and impulse which are invested in translating a European or American or even Latin American literary text are not employed in translating an African literary text. It may be because of the lack of communi-cation with African cultures and languages and the linguistic limi-tations to negotiate with the creoles and pidgins used in African literary texts or even colonial legacy. Besides, translation is never apolitical. It re-creates through intertextuality and negotiations bet-ween two diverse cultures and languages. Interaction today is possible to a remarkable extent through the internet and hi-speed communication media. But in a postcolonial situation in the context of neo-colonization and crony capitalism, economic realities and psychic boundaries deeply impact the process of fortification of the dialogues between two diverse cultures, inevitable for creative translatability of these phenomena. How the translators respond to the synchronic and diachronic contexts of the source texts is im-portant for the re-creation and at the same time authentication of the translated texts. This paper seeks to critically explore the factors related to the reading of African literature in translation dialogically in Bangladesh.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.012 | 0.004 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".