El largometraje de ficción en Costa Rica: análisis estético de Presos (2014) de Esteban Ramírez, Violeta al fin (2017) de Hilda Hidalgo y Medea (2017) de Alexandra Latishev
Bibliographic record
Abstract
La producción cinematográfica de Costa Rica experimenta un discreto despertar que se refleja, paulatinamente, en las ediciones del Festival Internacional del Nuevo Cine Latinoamericano de La Habana en el período 2010-2018. El presente artículo examina los filmes Presos (2015) de Esteban Ramírez, Violeta al fin (2017) de Hilda Hidalgo y Medea (2017) de Alexandra Latishev, en tanto muestra significativa de la producción tica. Mediante el análisis de contenido, la hermenéutica textual simbólica y la observación documental, se determinan los aportes estéticos de estos largometrajes al arte cinematográfico de ese país y su contribución a la producción fílmica centroamericana del período.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 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".