Expresión de relaciones topológicas en mapudungun
Bibliographic record
Abstract
Resumen: Durante las últimas décadas, el estudio de la semántica espacial ha experimentado un fuerte desarrollo gracias a las investigaciones de orientación tipológica, que han permitido constatar la inadecuación explicativa de algunos supuestos lingüísticos y cognitivos tradicionales.En este contexto, nuestro trabajo tiene como objetivo principal describir las formas de expresión en mapudungun de las escenas estáticas, en particular, de las relaciones topológicas, parte central de la conceptualización del espacio.Con este fin, se utilizó el Topological Relations Pictures Series de Bowerman y Pederson, un grupo de 71 imágenes que presentan relaciones espaciales para contextualizar la verbalización de expresiones locativas, el que fue respondido por siete hablantes nativos de mapudungun.Como resultado, se reconocen tres construcciones locativas básicas, que se diferencian respecto del uso de: un verbo locativo general (mülen 'haber, estar') o verbos específicos (v.gr.anün 'sentar' , konün 'bajar'), y una adposición con sentido locativo general (mew) versus adposiciones específicas (v.gr.wente 'encima' , pu 'dentro').Se identifican, además, las escenas que gatillan el uso de los distintos marcadores lingüísticos, y se discute el significado de estos hallazgos para las tipologías de predicados locativos.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".