Bibliographic record
Abstract
Throughout the history teaching Ethical values through stories, poems or literatures has been a very old system of moral education, ethics is thefoundation of our human relationship to ourselves and the world around us. Ethics and Literature are deeply connected and inseparable. A good literary work has the ability to build a new sense of self in a reader. Literature is considered to be the perineal source of Ethics. Ethics and its relevant practice are essential in macro and micro, which is specified as a nation, group and individual. Ethics is built by humans and it is subject to changes and developments. This article attempts to surface how Thirukkural’s Kamathupal (On Love) is an instrument to Familial Ethics. Family in the modern era is completely broken and shattered. Amidst this chaotic living, trust, love, hope and commitment are very much needed for a happy living. This paper will also highlight various dimensions of Thirukkural’sKamathupal and looks in to how it works for an individual’s moral awareness and human behaviour. Today’s time, today’s culture in which we live is characterized mainly by pluralism with which we have to deal, with crises and turmoil that we are experiencing. If a man is loyal to his family, he does only good things to his family and to his family members, which will also seen in his relation with society . Hence, the third section in Thirukkural is a crucial section and holds the greatest ethical values that are the urgent need for the human kind
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.020 | 0.010 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".