Bibliographic record
Abstract
Sex as a biological activity contains multiple aspects from pleasure to pain, and from ravishment to conjugal bliss; thus having the normal and abnormal elements. It is a primary source of reproduction carrying pleasure/orgasm or pain element in the process. Healthy sexual activities engender orgasmic responses (pleasure) and nurture human growth along healthy lines. Its derangement, however, may cause numerous psycho-biological and behavioural regressions Eugene O’Neill is primarily a dramatist of human emotions and is deeply concerned with dramatizing extremes of human behavioural tendencies with marked regressivity. His treatment of human sexuality is an illustration of his dramatizing extremes of emotive and psychological states with predominant regressive pattern in human conduct and attitude towards sexuality. Here he owes a lot to Freud’s psychoanalytic exploration of human consciousness and his theoretical stance on infantile psycho-sexual development in familial context. Therefore one comes across a persistent mode of incest in familial relation in his plays of different periods. The study, however, highlights here such other areas of human sexuality as marital sexuality, male sexual abstinence/wastefulness, female heterosexuality, prostitution, and neurasthenia with reference to selected plays of different dramatic career to emphasize that there is predominant pattern of regressivity in all these areas of human sexuality that has its negative bearing on human behavioural pattern and conduct.Key words: Modern American drama; sexuality; behavioural disorders; neurasthenia
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.009 |
| Insufficient payload (model declined to judge) | 0.007 | 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".