Bibliographic record
Abstract
Diversity and inclusivity have guided many scholars of Hispanic Golden Age drama in their attempts to cover new ground and incorporate fresh insights in the first quarter of the twenty-first century on early modern theater written in Spanish. The six essays in this special issue provide a sampling of that spirit, exploring themes such as physical, ethnic, and political otherness, the dynamics of gender and caste in professional theater, and the ability of music to communicate transcendence and reconcile sacred and secular. Authors included are Glenda Nieto-Cuebas, Pablo García Piñar, Erin Cowling, Sharon Voros, Susan Paun de García, and J. Yuri Porras. They discuss the theatrical work of Lope de Vega, Calderón de la Barca, Sor Juana Inés de la Cruz, Juan Ruiz de Alarcón, Diego Sánchez de Badajoz, Ignacio Amestoy, Ainhoa Amestoy, Bernarda Ramírez, and Petronila Jibaja.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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".