SOBRE NOMINALIZAÇÕES EM –MENTO E ASPECTO LEXICAL
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
Neste trabalho, discutimos o papel do aspecto lexical, <em>aktionsart</em><em>,</em> (VENDLER, 1967, SMITH, 1997) na leitura final de nominalizações a partir da adjunção do sufixo <em>–mento</em> a bases verbais, considerando os pressupostos teóricos da Morfologia Distribuída (HALLE; MARANTZ, 1993, 1994; MARANTZ, 1997; SIDDIQI, 2009). Assumindo que as informações abstratas, fonético-fonológicas e semânticas das palavras estão distribuídas em três listas distintas, propomos que os traços de aspecto (dinamicidade, telicidade e duração) se constituem traços formais independentes e, assim como as raízes, estão armazenados na Lista 1. No curso da derivação, esses traços são combinados em um núcleo de uma projeção funcional, AspP, e interferem na leitura das nominalizações em <em>-mento</em>.
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 | 0.000 |
| Scholarly communication | 0.004 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.032 | 0.013 |
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