Bibliographic record
Abstract
This contribution looks at the way instinct is transmittedand represented as ghost appearance. The essay elaboratestwo basic theses: first, that instinct is not definedby creaturely heritage, since it is not a testable structurein itself, nor subject to mourning and developmentalprocesses; and second, that works of fine literature andpop oeuvres alike may serve as carriers of a ghost transmissioncharged with instinctive heritage. The studyrepresents a model for reading ghostly genealogies thatcomplement the familiar and familial reproductive onesas it draws on traditions such as the adultery novel, continentalphilosophy, psychoanalysis, and Disney.Currently based in Berlin, Viola Kolarov has taught inthe German Departments of the Johns Hopkins Universityand New York University. She has published onShakespeare, contemporary art, film, and pop culture.Her forthcoming book, “Shakespeare and the Autobiographyof the Machine Age,” rethinks Goethe, theGerman translation/transmission of Shakespeare, andthe German literary tradition in the contexts of mediatechnology.Originally from Berlin, Susanne Lanckowsky enteredthe Academy of Fine Arts Karlsruhe, class of Franz Ackermann,in 2007. Since 2009 she has shown solo and ingroup on numerous occasions and studied abroad withprestigious scholarship support for one semester at theFaculdade de Belas Artes Universidade do Porto, Portugal,and for another semester at the Escuela Nacional dePintura, Escultura y Grabado La Esmeralda in Mexico.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.014 |
| Scholarly communication | 0.010 | 0.011 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.006 | 0.007 |
| Insufficient payload (model declined to judge) | 0.016 | 0.005 |
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".