Itinerarios migrantes: claves para emprender un análisis discursivo en la frontera sur de México
Bibliographic record
Abstract
El presente artículo indaga sobre el fenómeno migratorio a partir de observaciones etnográfico-comunicativas de contextos en constante movilidad humana al sur de México. Desde un posicionamiento hermenéutico e interpretativo, se propone un análisis discursivo de aquellas narrativas que sitúan al estado de Chiapas como una frontera subjetivada en tanto apropiación de identidades en el marco de interacciones comunicativas complejas, como cambios de código o alternancia de lenguas. A partir de ello, se asume que el desplazamiento geográfico es un fenómeno perpetuo cuya motivación no siempre obedece a las exigencias materiales que demanda el entorno a sus actores; se trata, más bien, de conceptos profundamente arraigados en la cognición social, compartidos en un mismo espacio o no.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".