Bibliographic record
Abstract
Abstract Object-oriented ontology (OOO) is a philosophy that asks us to step outside the human-centric view of the world to recognize that objects have realities of their own. Although we cannot directly access a thing-in-itself, we can still come to know something about it through an indirect access that Graham Harman suggests is provided by aesthetics, specifically the metaphor. In the metaphor, we step into the place of the object-in-itself (that withdraws) and experience a taste of its reality. This main purpose of this article is to show that the visual arts—specifically Haim Steinbach’s art works—offer a different way to know objects. Steinbach “arranges” found objects on shelves; this emphasis on “arrangement” raises questions about the nature of the space between objects. I argue that it is this space between objects (rather than the indirect contact with objects) that grants us some access to the thing-in-itself. By relating the spaces between objects to silence, I show that it is in these spaces that objects speak. In other words, the theatricality of the metaphor Harman privileges for understanding the object only exists in a silence that emerges from the spaces between objects.
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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.028 |
| Scholarly communication | 0.011 | 0.017 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".