Recombinant Poetics, Urban Flânerie, and Experimentation in the Database Narrative Bleeding Through: Layers of Los Angeles 1920—1986
Bibliographic record
Abstract
Bleeding Through: Layers of Los Angeles 1920—1986, is a DVD-ROM produced under the auspices of the Labyrinth Project at the University of Southern California, and directed by the scholar/artist Norman Klein. Drawing on hundreds of photographs, newspaper clippings and films from the archives of USC, and the Los Angeles Public Library, among other sources, this DVD offers us the chance to reconsider our understanding and vision of Southern California. This database narrative proposes a multi-perspectived and critically informed exploration of Los Angeles, which to this day remains surprisingly unexamined. This article analyses this unconventional project and examines its objectives. Klein's experimental flânerie invites us to a renewed urban experience that relies on a set of distinctive formal characteristics. I will therefore discuss this project's exploration of mediatic combinations, and its resistance to narrative closure, in order to demonstrate that Klein tries to reinvent the way to engage with art and to write history.
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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.012 | 0.030 |
| Scholarly communication | 0.012 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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 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".