Bibliographic record
Abstract
Sobre poesia y diaspora, dialogo con Nela Rio, tambien compartiendo lecturas de poemas expresivos de los temas principales de la conversacion. Reconcida escritora de origen argentino, residente em Canada desde hace mas de cuarenta anos, su obra integra las ricas vivencias de una mujer artista en viaje transcultural, a la vez que ilumina constantes humanas universales. El presente dialogo focaliza su experiencia como escritora de traslaciones y desplazamientos, mediadora entre figuras, paisajes, lenguas, destacando sus relevantes contribuciones a la idea y praxis de una literatura transnacional, abierta a las nuevas formas de identidad que se desenvuelven en el seno de los movimientos migratorios contemporaneos. Abstract : This is a dialogue with Nela Rio about poetry and diapora, also sharing readings of poems pertaining to the principal themes of our conversation. A recognized writer, argentine-canadian, resident in Canada for more than forty years, incorporates the rich experiences of a woman artist on a transcultural journey, at the same time illuminating universal human constants. The present dialogue emphasizes her work as a writer of translations and displacements, mediator of forms, scenaries and languages, giving emphasis to her contributions to the idea and experience of transnational literature, open to new forms of identity transparent in the development of contemporary migratory movements. Palavras-chave : Nelo Rio; poesia; disaspora; transculturalidade; Canada; Argentina
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 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.007 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 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".