Bibliographic record
Abstract
This project began as a random exchange among colleagues about the striking commonality of some texts of the German-language late classical, romantic, and the Biedermeier period: "slapstick" seemed to us at that moment the most obvious description for the sometimes comic, sometimes tragic excesses in works by, among others, Heinrich von Kleist (1777-1811), E.T.A. Hoffmann (1776-1823), or Annette von Droste-Hülshoff (1797-1848), which usually only relate loosely to each other.It was this fortuitous find that brought us in conversation with excellent scholars across fields and at different stages of their careers.We are deeply saddened by the untimely death of Laura Isakov in 2020, who was a PhD Student at the University of British Columbia and served as research assistant, as well as translator from German into English for a number of the contributions in this volume.Portions of this project would not be in the shape they are were it not for Laura's dedication to the work.We write with gratitude and will cherish our memories of working with Laura on this project.We are grateful for a number of institutions, which in various ways supported the research, writing, and editorial work of this project.First, we would like to thank the Department of Central, Eastern, and Northern European Studies at the University of British Columbia (UBC).In particular, we would like to express gratitude for the UBC Scholarly Publication Fund, which helped offset publication costs for the volume.We would like to thank the UBC Faculty of Arts for providing additional funding for research assistantships.Next, we would like to thank our colleagues at De Gruyter: Myrto Aspioti, Marcus Böhm, Stella Diedrich, Anja-Simone Michalski, and Antonia Mittelbach.They have supported our project at various stations over the course of four years.Their review, recommendations, and the organization of an anonymous peer review of the volume all improved the book exponentially.Here we would also like to thank Luiza Folegatti and Cleo Wächter for the cover image.Maggie Hennefeld's chapter in our volume, titled "Slapstick Comediennes in Silent Cinema: Women's Laughter and the Feminist Politics of Gender in Motion," was initially published as Chapter 13 of The Routledge Companion to Cinema and Gender, edited by Kristin Lené Hole, Dijana Jelača, E. Ann Kaplan, and Patrice Petro.We would like to thank the editors of the Routledge volume
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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 | 0.006 | 0.033 |
| 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 | 0.003 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.479 | 0.337 |
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".