L’implicite dans les langues romanes: langue, texte et discours
Bibliographic record
Abstract
A obra reúne os textos que foram apresentados no Colóquio Internacional L´implicite dans les langues romanes : langue, texte, discours, que se realizou na sede da Universidade Aberta, no Palácio Ceia, em Lisboa, nos dias 4 e 5 de dezembro de 2017. Neste volume coligem-se os textos de grande parte dos participantes neste colóquio, colegas, amigos e discípulos da Professora Maria Helena Araújo Carreira, pelo que este volume configura também uma homenagem. A Professora Maria Helena Araújo Carreira é unanimemente respeitada como pilar fundamental nos estudos de língua, literatura e cultura portuguesas, no mundo, tendo sabido superiormente ampliá-los, compará-los e contrastá-los com os estudos em línguas românicas, sendo capaz de reunir pessoas de todas as latitudes que se dedicam a este campo transdisciplinar, como aqui fica inequivocamente testemunhado.
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.
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.024 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 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".