Bibliographic record
Abstract
In his career of literary creation, Eugene O’Neill has been widely influenced by Ibsen and Strainburg. The former has influenced his subject matter and theme, and the latter has influenced his colorful style. Ibsen’s problem drama has special influence on O’Neill and leads to his own family tragedy plays. Focusing on the tragic family life of ordinary people and concerning over women's role in family life have also become the focus of O’Neill’s writings. Key words: Ibsen, Eugene O’Neill, family tragedy Resume: Dans sa carriere de la creation litteraire, Eugene O’Neill etait largement influence par Ibsen et Strainburg. Le precedent influencait son sujet et son theme, et le dernier influencait son style diversie. Le probleme dramatique d’Ibsen a une influence speciale sur O’Neill et entraine aussi sa propre tragedie familiale. Concentration sur la vie tragedique familiale des personnes ordinarires et ce qui concerne le role des femmes dans la vie familiale devenaient aussi le centre des oeuvres d’O’Neill. Mots cles: Ibsen, Eugene O’Neill, Tragedie Familiale
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.023 | 0.019 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.010 | 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".