"Exploring Dalit Literature With A Focus On Women's Lives And Experiences"
Bibliographic record
Abstract
Abstract Dr Ambedkar quoted that ‘Breaking up the caste system was not to bring about inter-caste dinners and inter-caste marriages but to destroy the religious notions on which caste was founded’ India has seen tremendous progress over the years. But has this progress really achieved the true liberation of people. Even today in a country with diverse languages, cultures, religions and economic status, we live in unity. To a great extent this unity is limited to books alone. Considering the communal riots, honour killing, and the caste inequalities in our country, it creates a curiosity to know the past and the present outlook of caste system in India. In the traditional Indian caste system a member of the lowest caste Dalit is also known as ‘Untouchables’ and considered the lowest social group in the Hindu Caste system. The word Dalit means ‘oppressed’ in the 1930’s. Even in the 21st century, an entire population in India and Hindu regions of Nepal, Pakistan, Srilanka and Bangladesh is often considered contaminated from birth because they are ‘Dalits’, they face discrimination and even violence from members of higher castes or traditional social classes, particularly in access to jobs, education and marriage partners. This paper intends to find out the real life of Dalits as depicted in literature and the life of women of this caste group, both in the past and present. If India speaks of unity then why is half of the dalit population living below the poverty line and more than 60percent still illiterate.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.041 | 0.028 |
| Scholarly communication | 0.013 | 0.006 |
| Open science | 0.002 | 0.015 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".