Bibliographic record
Abstract
As a colourblind person, Owen is interested in monochromatic imagery both as a preferred style of creating artwork and as a conceptual bed of inspiration. Black and white, yin and yang, negative and positive, light and dark. It's impossible to know one without the other. This understanding informs how processes of change occur and how we know and move through the world. Ancient bacteria developed ocular capacities to distinguish the difference between light and dark. They made symbolic associations with this sense to more deeply understand where warmth and life-giving resources are and to understand their place and what to do in it. This dialectical understanding is the basis of living experience as we know it, and our development depends on it. We are constantly responding to a lack of things by inserting things. If either light or dark exists in excess, we lose the ability to know and enjoy dynamics. When they exist harmoniously, we know our place more deeply, hopefully well enough to expand its benefits to those who can see it. This artwork is meant to evoke a dynamic sense of an ever-changing place, and our imminent capacity to expand its bounty in relational harmony with our place and each other. Media used: clay, scratchboard
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.024 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.016 | 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".