Nuevas formaciones con el marcador adverbial -mente: el caso de enrealidadmente
Bibliographic record
Abstract
Esta nota gramatical describe una nueva derivación léxica en español actual, el “adverbio” enrealidadmente, registrado en el habla coloquial desde la década del 70 del siglo XX como expresión idiomática lexicalizada. El interés por este tipo de formas es doble en la gramática del español, ya que ejemplifican un caso de extensión del elemento -mente a otras categorías distintas del adjetivo y, además, aparecen precedidas por una preposición. Tras la caracterización de las bases que lo forman (en realidad y realmente) y la revisión de su documentación, se presenta una serie de consideraciones teóricas sobre los adverbios en -mente, el cruce de palabras o fusión, los procesos de analogía, la lexicalización y los universales vernáculos, que ayudan a comprender un poco mejor esta nueva formación.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".