Bibliographic record
Abstract
This special issue of the LLC: The Journal of Digital Scholarship in the Humanities presents papers selected from the many submissions made by authors based on their presentations at the Digital Humanities 2012 conference. DH2012 (http://www.dh2012.uni-hamburg.de/), hosted by the University of Hamburg 16–22 July 2012 with the theme ‘Digital Diversity: Cultures, languages and methods’, saw a historic rise in submission, presentation, and attendance numbers, all reflecting the major growth of interest in the field of digital humanities in recent years. With a record number of submissions (393) to a digital humanities conference, across a wide range of categories—pre-conference workshops/tutorials, long papers, short papers, posters, and multi-paper sessions—the challenges for the International Programme Committee were immense, but thanks, in part, to the move to a five-strand conference, the 2012 conference saw more contributions, and by more participants, than probably any DH conference in the past. In all, 536 people registered for a conference that included 10 pre-conference workshops and tutorials plus a bootcamp, followed by close to 200 papers and presentations in five tracks (or 50 sessions), in addition to 45 posters. In two well-received keynote speeches, Professor Claudine Moulin explored the challenges in developing interdisciplinary and transnational research structures, with particular consideration for the role of digital humanities, while Professor Masahiro Shimoda contemplated the relationship of the field to the wider humanities from a historical and cultural perspective. Eleven Alliance of Digital Humanities Organizations (ADHO) bursary awards were awarded to encourage new contributions to scholarship in the digital humanities at the conference, and the Paul Fortier Prize was awarded to Marc Alexander for his paper on ‘Patchworks and Field-Boundaries: Visualizing the History of English’.
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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.565 | 0.422 |
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; the direct Gemma label and the distilled Codex classifier 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".