Bibliographic record
Abstract
Among the many surprises in David Mamet's controversial play Oleanna, the most shocking is perhaps the professor's violent attack on his student. This sudden eruption is certainly climactic; the problems it raises, however, seem to leave the audience to "draw its own conclusions," to take sides with either the professor or the student. Either option turns the play into melodrama, with the professor as hero/victim and the student as villain or the student as feminist heroine and the professor as villain/oppressor. Critical opinion is divided, with a majority of critics and reviewers, even those with feminist credentials, seeing the student as "bitch/witch," representative of a radical and punitive feminist ideology run rampant. Following Mamet's lead, other critics have suggested that sexual harassment is a vehicle for a broader issue: that Oleanna is a play about "power," or a "tutorial" play with a genre affinity to Ibsen's social-problem dramas. Most recently, Thomas Goggans attempts to exculpate the Carol persona by pointing to textual suggestions of child abuse in her past. Then, in passing, he attaches blame for her actions to manipulation by her feminist support "Group." This effort to redeem her effectively nominates this shadowy collective as the "real" villain. A final option, suggested by John Simon, is to finger the playwright — according to him, the play is simply a jumble, seriously flawed in concept and/or execution.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.015 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".