Poéticas abyalenses en Centroamérica: propuesta de análisis literario en el contexto de las revistas digitales (Parte I)
Bibliographic record
Abstract
This research makes a proposal for a literary analysis of what is referred to here as the “abyalense poetics in Central America”,from the context of digital magazines. The study considers four digital magazines, New York Poetry Review, Ajkö Ki, Círculo de Poesía, and Altazor, and two poets per region. The cases of Nicaragua, Belize and Honduras are pending for the second part. In total there are sixty poems by authors from Costa Rica (Leonardo Porras Cabrera and Mariana Bejarano), Guatemala (Miguel Ángel Oxlaj Cúmez and Rosa Chávez), El Salvador (Guadalupe Estrada and Paula López), and Panama (Aiban Wagua and Arysteides Turpana). Categories such as indigenous, ladino and indigenist poetry and literary polysystem are developed and considered. As part of the results, different phenomena and aesthetic proposals are mentioned, among them, related to cases of linguistic hybridization, bilingualism, monolingualism, cosmovisions, ethnic resistance, and denunciation. It also opens the space for new proposals on this subject, exposes the lack of an anthology of contemporary Central American Abyalense poetics and presents some limitations of interest for future works.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.008 | 0.011 |
| Science and technology studies | 0.004 | 0.007 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".