Hergé reporter: Tintin en contexte <i>Hergé reporter: Tintin en contexte</i> . Edited by R <scp>ainier</scp> G <scp>rutman</scp> and M <scp>axime</scp> P <scp>révost</scp> . (Special issue of <i>Études françaises</i> , 46.2). Montreal: Presses de l'Université de Montréal, 2010. 184 pp. Pb CAD $12.00.
Bibliographic record
Abstract
Journal Article Hergé reporter: Tintin en contexte Get access Hergé reporter: Tintin en contexte. Edited by Rainier Grutman and Maxime Prévost. (Special issue of Études françaises, 46.2). Montreal: Presses de l'Université de Montréal, 2010. 184 pp. Pb CAD $12.00. Laurence Grove Laurence Grove University of Glasgow laurence.grove@glasgow.ac.uk Search for other works by this author on: Oxford Academic Google Scholar French Studies, Volume 66, Issue 2, April 2012, Pages 266–267, https://doi.org/10.1093/fs/kns037 Published: 01 April 2012
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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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; both teacher heads agree on what is shown here.
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".