Bibliographic record
Abstract
This creative work, featuring a poem and two photographs integrated into the text, details a queerrelationship in Vienna, Austria, against the backdrop of global and historical violence. In the poem, a queer couple walks in downtown Vienna, noticing how stoplights in the capital city seem to depict same-sex relationships, thereby demonstrating an acceptance that was only just legalized in 2019. Initially overjoyed, given the country’s historical legacy of intolerance (Austria was the birthplace of Adolf Hitler, early 20th century fascism, and is still well-known for its traditional and conservative values), the couple realizes that their happiness is overshadowed by the epiphany that Austria is one of the few countries to have voted against a ceasefire in Gaza. Stunned by this realization, the couple looks on at the stoplights, aghast, considering the complexities of violence in today’s social context.
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 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.010 | 0.027 |
| Scholarly communication | 0.008 | 0.012 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.003 | 0.012 |
| Insufficient payload (model declined to judge) | 0.012 | 0.003 |
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".