Fun and Games with George and Nick: Competitive Masculinity in Who’s Afraid of Virginia Woolf?
Bibliographic record
Abstract
This essay focuses on the relationship between George and Nick, who represent two competing but interdependent models of heterosexual masculinity. Who’s Afraid of Virginia Woolf? stages, in addition to its famous battle between the sexes, an equally urgent battle within masculinity. The verbal combat between George and Nick illustrates not only Albee’s understanding of gender as discursively constructed but also that the legendary marriage delineated in Who’s Afraid depends both structurally and psychologically on the competition between the two men. Albee presents postwar heterosexual masculinity as fundamentally competitive, a gender identity that must be proven as well as performed. The play suggests that, if competitive masculinity produces a victor, it also demands a loser. As it takes one man to prove another’s masculinity, an attentive and ultimately vanquished male audience is necessary to complete the performance. Moreover, Who’s Afraid shows heterosexual masculinity as constituted through a particular form of triangulation: George and Nick compete to see which is the better man and fitter mate for Martha.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.021 | 0.009 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".