¿De profesión, intérprete? Entrevista con Mayra Parra y Sônia Fernandes, intérpretes en el Circo del Sol
Bibliographic record
Abstract
El mundialmente conocido Circo del Sol, con sede en la ciudad canadiense de Montreal, presenta, en todos sus espectáculos, un muy variado compendio de artistas internacionales que no siempre dominan o, simplemente, entienden las lenguas inglesa o francesa. El ejercicio de la interpretación se convierte entonces en imprescindible y, bajo estas circunstancias, en algo muy peculiar. Por ello, en esta entrevista se recogen experiencias y anécdotas de dos intérpretes con gran experiencia en el ejercicio de su profesión para esta institución dedicada al arte y al entretenimiento, en un lugar donde la interpretación es mucho más que mera interpretación. Se trata de la venezolana Mayra Parra y de la brasileña Sônia Fernandes. Todo un honor para Hermēneus poder contar con sus testimonios.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.025 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".