ESTÁ ALEJADO MÍO. SOBRE EL COMPLEMENTO POSESIVO EN EL ÁMBITO ADJETIVAL
Bibliographic record
Abstract
ResumenEste trabajo se centra en la descripción de las construcciones adjetivales que admiten la sustitución de un complemento preposicional por un posesivo tónico: Está alejado de mí ~ Está alejado mío.Estos predicados, construidos con estar y otros verbos, comprenden adjetivos adverbiales (cercano, lejano, próximo) y participiales (alejado, separado, junto), con rasgos gramaticales comunes: son predicados complejos simétricos, resultado de un proceso de co-composición, y expresan situaciones de experiencia directa.Los datos disponibles muestran cómo los usos registrados corresponden al habla juvenil de varios países hispanohablantes, con selección de posesivos de todas las personas gramaticales (mío, tuyo, suyo), con preferencia por los usos de primera y segunda persona.Se constata, así, una construcción innovadora que sigue la pauta de los adverbios y verbos con alternancias entre sus complementos preposicionales y posesivos.
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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 | 0.013 | 0.049 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.013 |
| Scholarly communication | 0.011 | 0.014 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.017 | 0.004 |
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".