A Journal for Adrienne Kennedy (after <i>People Who Led to My Plays</i>)
Bibliographic record
Abstract
To make oneself an artist is difficult in any society. But when your society's cultural traditions actively discourage and devalue you, the challenge is enormous and the emotional cost is great. Adrienne Kennedy wanted to be a major writer at a time when America's literary culture took little or no interest in African-American writers of either sex or in women of any race. This essay explores the strategies Kennedy used to make herself into an original and important writer. She refused to turn her back on cultures and canons that ignored or belittled her. She took a passionate, even voracious interest in multiple traditions: English literature; American movies; classical music, spirituals, and jazz; European painting and African sculpture. She created her own artistic and personal legacies, writing stories and plays that brought these divergent genres and traditions into the same imaginative space. She explored the emotional cost without being silenced by it. In the process, she created new literary worlds and forms.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.094 | 0.051 |
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".