Tradução da história "Registo de contactos" do médico-escritor canadiano Vincent Lam
Bibliographic record
Abstract
Apresenta-se a tradução de uma das histórias do livro blooletting & miraculous Cures do médico-escritor canadiano contemporâneo Vincent lam, vencedor do Scotiabank giller Prize 2006. com esta obra tornou-se no mais jovem vencedor deste prestigiado prémio literário, até então conquistado por escritores como Alice munro, margaret Atwood e mordecai richler, bem como no primeiro vencedor deste prémio com a sua primeira obra. este jovem escritor, médico de formação, é médico de emergência em toronto, tendo ajudado a lutar contra o surto da SrAg em 2003 no toronto east general Hospital. o autor cedeu-nos os direitos de tradução desta história para publicação na revista da FCS da UFP. The translation of one of the stories of the book blooletting & miraculous Cures by the contemporary canadian writer and physician Vincent lam, winner of the Scotiabank giller Prize 2006, is presented. With this work he became not only the youngest winner of this prestigious literary award, whose previous recipients include Alice munro, margaret Atwood and mordecai richler, but also the first author to win the award with a first written work. this young writer, a doctor by training, is an emergency physician in toronto, who helped to fight the 2003 SArS outbreak at the toronto east general Hospital. the author authorized the translation and publishing of this story in the magazine of the FHS of FPU.
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.024 | 0.015 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.020 | 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".