Relatório da tradução do Guide général d'impôt et de prestations pour les non résidents et pour les résidents réputés du Canada-2008 da Agence du Revenu du Canada
Bibliographic record
Abstract
Tratando-se de um trabalho sério, ainda que só académico, a tradução da versão francesa do guia de impostos do Canadá: “Guide général d’impôt et de prestations pour les non-résidents et les résidents réputés du Canada – 2008”, pretende mostrar ao leitor do presente relatório a determinação do tradutor em querer colocar nas mãos do emigrante do Canadá uma versão em língua portuguesa. Como partes do presente relatório temos uma primeira parte onde é apresentada uma análise ao texto de partida, secundada por uma reflexão sobre a metodologia a seguir (centrada na análise textual efectuada), e uma terceira parte em que se dá espaço à teoria. A apresentação de alguns dos problemas, dos mais relevantes encontrados durante o processo de tradução, constitui a quarta parte do relatório. Finalmente, a ultimar as partes já mencionadas, será apresentado e censurado o projecto de tradução.
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 | 0.015 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".