Bibliographic record
Abstract
Piecing together fragments of objects and thoughts, dissecting them first, cutting away the excess so everything fits. It conforms to a size far beyond a suitcase, yet I still hope that when removed from the stretcher, the canvas will fit into the luggage for transport. Everything overlays in these repeated attempts—so many times that I lose count—leaving behind holes and circles that offer glimpses of what once existed before decisions were made hastily in the stillness of midnight, during the naïve pursuit of expressionism. The objects left behind peer back at me through the gaps, their gazes confrontational. Their sight is obstructed and likely blurred, yet still present, woven into the dimensionality of perspective, its wreckage, and the variety of strokes. Compiled from National Geographic photos found on archive.org, countless portraits of “always yours,” and the walls of Istanbul adorned with controversial oppositional graffiti, The bodies are lying under my window!! reflects the interconnectedness of past and present, the diminished significance of distances and cultural differences in an age of rapid globalization and immediate exchange of information.
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 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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.015 | 0.002 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".