Trauma of Subjective Memory in Strange Interlude and Long Day’s Journey into Night
Bibliographic record
Abstract
Memory and remembrance have a pivotal role in O’Neill’s dramatic art. What has not been adequately appreciated and analyzed is that how far O’Neill’s art stands as a reflection on trauma generally. In the first place the paper analyses that in line with modern concern with memory and trauma, O’Neill is essentially and predominantly concerned with the personal/subjective and not with the collective memory. Secondly the remembrance is charged with traumatic effect and the personas conduct in the plays like Strange Interlude and Long Day’s Journey into Night is an illustration of trauma that expresses itself instantly as well as belatedly to mar human behaviour with variable degree of psychopathology. The traumatized responses in his persona vary, but are definitely regressive assume psychotic urge for repetition that obstruct individual harmonious integration with the self and the others. The immediate impression in performing traumatized memory is that of “affected state” that displays such traumatized reactions as overwhelming depressive behaviour that is repetitive, overlapping and mar the linear life movement, generate shattering anxiety, and “plunging the person into a form of authentic being towards death”. These responses are essentially post modern in nature. The analysis will conclude on the point that the plays do not make provision for the strategies for coping with the trauma that characterized classic and Shakespearean theatre.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.013 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".