Nuevos datos históricos sobre el "ser" focalizador
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Esta breve nota se centra en presentar documentación histórica del verbo ser focalizador en el español de América. Teniendo en cuenta que, hoy en día, el fenómeno se puede documentar en Venezuela, Colombia, Panamá y Ecuador, resulta coherente pensar que sus orígenes se remonten a un pasado en el que estos cuatro países conformaron un territorio común. Gracias a la revisión llevada a cabo en varios de los epistolarios publicados hasta la fecha de los presidentes (y militares) de la Gran Colombia, ofrecemos los primeros casos históricos de este fenómeno. Con todo, parece que el empleo de ser focalizador se pudo conformar entre militares, como un rasgo mas del lenguaje militar (y político) de la época, al menos desde principios del siglo XIX, lo que podría explicar su difusión geográfica actual y su aceptación social.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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 it