Isolda E. Carranza (2020), Narrativas interaccionales : una mirada sociolingüística a la actividad de narrar en encuentros sociales, Córdoba, Editorial de la Facultad de Lenguas/Universidad Nacional de Córdoba, 308 p. [ISBN: 978-987-47362-3-9]
Bibliographic record
Abstract
Resumen : "El narrar, la narración en cuanto actividad: ese es el punto de partida; más específicamente, la narración “como actividad conjunta entre participantes del encuentro social” (p. 16). Es decir, no sujetos autónomos, libres, cerrados sobre sí mismos, que se ponen a narrar “de la nada”, sino individuos situados en una interacción y determinados por su inserción específica en estructuras sociales. No deja de ser un enorme mérito el hecho de que, si bien el carácter unitario del libro es notorio, al mismo tiempo, cada uno de los catorce capítulos, reunidos en cinco partes, puede ser leído de manera prácticamente autónoma. La perspectiva es la de la sociolingüística interaccional, que encuentra en William Labov (1972) a uno de sus precursores, pero que se enriquece de manera fundamental con los aportes de una diversidad de autores provenientes del amplio campo de las humanidades. [...]"
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.009 | 0.009 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.020 | 0.006 |
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".