<b> <i>No Surrender! No Retreat! African American Pioneer Performers of the Twentieth-Century American Theater</i> </b> . By Glenda E. Gill. New York: St. Martin's Press, 2000; pp. 230. $49.95 hardcover
Bibliographic record
Abstract
At the beginning of No Surrender! No Retreat! African American Pioneer Performers of Twentieth-Century American Theater , Glenda E. Gill asks, “What shall the Negro dance about?” She poses the question as a “metaphor for all African American performing artists who faced . . . overwhelming discrimination” and lets it drive her passion and admiration for her chosen subjects. Her admiration for these theatrical heroes began through her early childhood contact with prominent African Americans on the campus of Alabama A. & M. College. Gill's palpable enthusiasm, germinated from the life-altering performances she saw as a youth, is the clear source of the power behind her scholarship and writing style. The chief value of the book lies in the balance Gill achieves between her quests to document and to celebrate these “pioneer performers,” people who have made her “dance” intellectually and inspirationally. She features the stories of Rose McClendon, Paul Robeson, Ethel Waters, Marian Anderson, Canada Lee, Pearl Bailey, Ossie Davis, Ruby Dee, James Earl Jones, and Morgan Freeman.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.221 | 0.142 |
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".