In Search of Unheard Voices: Monologism in U.R. Anantha Murthy’s Samskara: A Rite for a Dead Man
Bibliographic record
Abstract
Women are frequently oppressed by patriarchal ideals, leading to their voices being marginalized in society. The research elaborates on how the male characters representing hierarchical structures suppress the central female characters, to remain silent or prevent them from expressing themselves, as depicted in Samskara: A Rite for a Dead Man (1976), a translation of the Kannada novel Samskara (1965) authored by U.R. Anantha Murthy. The novel Samskara (1965) is translated into English as Samskara: A Rite for a Dead Man (1976) by A. K. Ramanujan. A patriarchal society is portrayed in Samskara: A Rite for a Dead Man (1976), where rituals and superstitious beliefs take precedence over compassion. Chandri, the only female character, has a major role yet speaks the least, sometimes being overpowered by the male characters. Hence, irrespective of their socioeconomic status, women are subjected to societal, economic, and physical exploitation. The purpose of this paper is to analyse, from a Bakhtinian standpoint, the representation of women's voices in monologism discourse. This research critically examines the portrayal of female characters in Samskara: A Rite for a Dead Man (1976), highlighting how they are reduced to submissive figures under the control of dominant males. While the female characters have limited dialogue, overshadowed by the presence of male characters, they still manage to make a significant impression on the readers. In his narration, the author presents the ramifications of societal regulations in an authentic circumstance from a singular perspective (monologic) as opposed to employing multiple voices (dialogic). The paper clarifies the current state of women's voices with the novel, which is set in traditional India where gender norms were dominant and female dissent was banned. A prevalent theme in contemporary society, intersectionality in gender is portrayed in the novel. Thus, the article sheds light on the contemporary gender empowerment movement and the significance of empowering women's voices in all aspects of life.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.022 | 0.024 |
| Scholarly communication | 0.010 | 0.009 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 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".