Power play: The dynamics of power and interpersonal communication in higher education as reflected in David Mamet’s Oleanna
Bibliographic record
Abstract
David Mamet’s play Oleanna may be infamous for reasons that do not do justice to the play’s real accomplishments. One reason for the controversy is the author’s apparent focus on sexual harassment. The play is not about sexual harassment. It is about power. And in particular the power of language to shape relationships within social environments such as universities. First published and performed in 1992 - at a time when many were outraged by the Clarence Thomas - Anita Hill debate - the playwright himself was compelled to deny his play was about sexual aggravation. Mamet’s Oleanna serves to instruct us about the power dynamics within one of our most vital institutions. The aim of this article is to take a dedicated look at this dramatic spectacle to see if we cannot uncover something about leadership and the mechanics of power and communication in higher education that is intellectually riveting, as well as socially constructive.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.023 | 0.054 |
| Scholarly communication | 0.011 | 0.006 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.007 |
| 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".