The Autobiographical Turn in Germanophone Documentary and Experimental Film
Bibliographic record
Abstract
A volume of essays marking out a new, historically and culturally specific model for contemplating autobiographical non-fiction film and video. There is a widespread notion in the scholarly literature on autobiographical nonfiction film that there are unchanging, universal models for the investigation of the self through audiovisual media. By insisting on the cultural andhistorical specificity of that self, the essays in this volume trace the range of politically and theoretically informed taboos, critiques, and proclivities that shape autobiographical filmmaking in German-speaking countries. Indoing so, they delineate a new model for contemplating autobiographical film and video. The essays in this volume examine the parameters shaping the audiovisual self in the Germanophone cultural context across a variety of practices and aesthetic modes, from contemporary artists including Hito Steyerl, Ming Wong, and kate hers to Rolf Dieter Brinkmann's multimedia experiments of the 1970s, and from Helke Misselwitz's challenges to the documentary tradition in the GDR to Peter Liechti's investigations of Swiss ambivalence toward the nation's iconic landscape. The volume thus takes up a number of historically and geographically specific iterations of autobiographical discourse that in each case remain contingent on the space and time in which they are uttered. Contributors: Dagmar Brunow, Steve Choe, Robin Curtis, Tobias Ebbrecht-Hartmann, Angelica Fenner, Marcy Goldberg, Feng-Mei Heberer, Rembert Hüser, Waltraud Maierhofer, Christopher Pavsek, Patrik Sjöberg, Carrie Smith-Prei, Anna Stainton. Robin Curtis is Professor of Theory and Practice of Audiovisual Media at the Heinrich-Heine-University in Düsseldorf, Germany. Angelica Fenner is Associate Professor of German and Cinema Studies at the University of Toronto.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.011 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".