Berlin’s Futurity in Zafer Şenocak’s <i>Gefährliche Verwandtschaft</i> (1998) and Marica Bodrožić’s <i>Kirschholz und alte Gefühle</i> (2012)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This article traces and compares the use of Berlin as a site through which to renegotiate memories of the Armenian genocide, the Holocaust, and the 1990s wars in former Yugoslavia in Zafer Şenocak’s Gefährliche Verwandtschaft (1998) and Marica Bodrožić’s Kirschholz und alte Gefühle (2012). The author argues that both novels experiment with narrative and stylistic devices, such as ellipsis and allusion, in order to leave the represented past open for present and future renegotiation to safeguard the past from becoming co-opted by identity politics. The author concludes by showing that, next to all of their similarities, the novels’ differ in their depiction of Berlin. Whereas Şenocak’s post-Wende Berlin is ultimately still located within a Germany determined by its past, Bodrožić’s Berlin gestures towards the city’s European present and future.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it