Bibliographic record
Abstract
Discussions of the Neobaroque began to find an important position in Latin American circles during the twentieth century. The goal of these discussions was a reassessment of an American identity by using the Baroque as a historical catalyst for cultural transformation. One of the prominent figures during this period who connected the Baroque with questions revolving around Latin American identity was the Cuban writer Alejo Carpentier. The following article examines Carpentier's theories on the New World Baroque taken from various essays published in La novela lationamericana en visperas de un nuevo siglo (1981). Through these essays, Carpentier's perspective of the Baroque is relayed into cultural themes of Latin America such as the importance of American solidarity, historical constancy, cultural innovation/progression, the natural environment, and urbanism. Analyzing the connection of such themes with the arrival of the New World Baroque sheds light on the crucial theoretical developments of Latin American identity during the twentieth century.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".