Bibliographic record
Abstract
The article investigates the sixteenth century Elizabethan view of race and its influence on person’s innate characterwithin the context of The Battle of Alcazar. The interest of Elizabethan audience in Moorish matter is remarkable indrama. The Elizabethans consider the Africa as the domain of war, conquest, fratricide, lust and treachery. TheMoors are often portrayed as violent villains that violate human morality. George Peele has overturned the raciststereotypes of his days in presenting Muly Mahamet, as Machiavellian politician, in the play. Peele’scharacterization of this Moorish Other embodies negative traits shared by the society at large, such as violenceevilness, and treachery. Certainly, Muly Mahamet’s depiction is the patchwork of Peele uniting his audience’s viewsand his own literary license to generate the complex villain of Barbary. He represents the first black Moor of anydramatic significance. Peele shows the villain Muly Mahamet as cruel and treacherous, and his evil is accompanyingdirectly with the blackness of his skin. The representation of the immorality of the Moor puts into the European superiority.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 teacher head, 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".