Exhibition, Conference and Book Reviews
Bibliographic record
Abstract
BOOK REVIEWS Thierry Groensteen, M. Töpffer invente la bande dessinée Ole Frahm, Die Sprache des Comics [The Language of the Comic] Daniela Petrini, ed., Die Sprache(n) der Comics: Kollokium in Heidelberg, 16.–17. Juni 2009 [The Language(s) of Comics: A Symposium Held in Heidelberg, 16–17 June 2009] Hannah Miodrag, Comics and Language: Reimagining Critical Discourse on the Form Ian Hague, Comics and the Senses: A Multisensory Approach to Comics and Graphic Novels EXHIBITION REVIEW Albums: Bande dessinée et immigration, 1913–2013, Musée de l'histoire de l'immigration, Paris, 16 October 2013 to 27 April 2014 Catriona MacLeod CONFERENCE REVIEW Graphisches Erzählen: Neue Perspektiven auf Literaturcomics Graphic Storytelling: New Perspectives on Literature and Comics], University of Düsseldorf, Germany, 5–7 March 2014 Carolin Kirchhoff
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 | 0.008 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.010 | 0.014 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.199 | 0.181 |
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".