Relatos y recursos lingüísticos de la inserción urbana : tres migrantes quechua-hablantes en Lima.
Bibliographic record
Abstract
A partir de los datos proporcionados por tres informantes quechua-hablantes que han migrado a Lima, el presente trabajo analiza tanto sus relatos, que revelan la manera en que toman posición e interactúan en su campo migratorio-urbano, como los recursos lingüísticos con los que elaboran sus discursos, que construyen sus espacios y establecen sus distancias. Se plantea que en su proceso de construcción identitaria, los migrantes utilizan estrategias de hibridación, lo cual les permite recombinar distintas experiencias. En efecto, en el nivel del discurso, el análisis muestra que los migrantes reconfiguran sus identidades a través de la articulación de pertenencias andinas y conurbanas; y en el nivel de las formas lingüísticas, el análisis permite constatar que el castellano de estos tres migrantes andinos bilingües constituye una variedad emergente caracterizada tanto por rasgos del castellano andino como por rasgos del castellano de la costa.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.006 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| 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".