Thematic Analysis of Non-Violence in the Select Excerpts of Svetlana Alexievich and Thiruvalluvar
Why this work is in the frame
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Bibliographic record
Abstract
The universal prominence attained by English language has paved way for translation and thereby, offers access to world literature and comparative studies. India has witnessed a growth in the field of comparative studies since it received an impetus from Rabindranath Tagore's lecture delivered on the subject when he was invited by National Council of Education in 1907. Tamil Literature has endorsed stalwarts like Thiruvalluvar whose couplets focus on valuable topics that have not only stood the test of time but also has its influence across cultural, political, ethical and topographical diversity. His magnum opus titled Thirukkural is a masterpiece of human thought, equivalent to the Bible, Milton’s Paradise Lost and works of Plato. Svetlana Alexievich is a Belarusian writer who writes in Russian language. He works have been translated into 35 languages and more that 20 documentary films have been produced based on her testimonies collected from victims, survivors, and firsthand witnesses of war and disaster. Alexievich received the Nobel Prize in Literature in 2015, for her polyphonic writing skill which fetched her veneration in the 21st century. This research article aims to compare and contrast how two literary stalwarts belonging to two different centuries and completely dissimilar ethnicities have unified thoughts on human existence. Thiruvalluvar’s views about ‘war’ and ‘killing’ and Nobel laureate Svetlana Alexievich’s perception of the futility of war are analyzed in a novel attempt to corroborate that peace and harmony are themes validated since the origin of species and will continue to be valued as long as human civilization exists.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it