Historiography, Notions, Sense, Quotations, CD-ROM
Bibliographic record
Abstract
Je vais vous entretenir de mon principal champ d'intrt, l'histoire de la traduction.J'ai donn mon expos le titre suivant, qui n'en est pas vraiment un : Historiographie, notions, sens, citations, cd-rom .Ces cinq mots correspondent aux cinq parties de mon expos.Dans la premire, portant sur l'historiographie, nous verrons brivement comment, selon moi, il convient d'crire l'histoire de la traduction.La deuxime est consacr un projet d'tude des notions d'histoire de la traduction et la troisime la manire dont les traducteurs ont conu le sens au fil des sicles.Dans la quatrime partie, je vous parlerai du dictionnaire de citations sur la traduction que je viens de terminer pour finir par une brve description d'un instrument pdagogique nouveau en enseignement de la traduction, un cd-rom sur l'histoire de la traduction..
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 teacher head, 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".