Bibliographic record
Abstract
Une m"thode informatis"e qui permet lÕexamen attentif du discours dans la langue source et dans la langue cible, milliseconde par milliseconde, a "t" "labor"e afin de permettre une analyse de lÕinterpr"tation. En utilisant un programme sp"cialement d"velopp" ‹ cet effet, lÕanalyse du discours de lÕinterpr"tation peut maintenant 'tre automatis"e et rendue quantitative. Les discours en langue source et en langue cible peuvent 'tre trac"s graphiquement et parall'lement sur lÕaxe des temps, facilitant ainsi la comparaison entre le discours et son interpr"tation simultan"e; on peut comparer la dur"e de chaque "clat et de chaque pause, le d"but et la compensation, le degr" de simultan"it" entre lÕorateur et lÕinterpr'te et bien dÕautres param'tres importants au th"oricien de lÕinterpr"tariat.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".