Bibliographic record
Abstract
I value a synergistic use of color or value. Additionally, using details that can be seen working conjointly to further the level of my art. The mediums I enjoy working with are charcoal, oil paint, graphite, and clay. Most of my work is illustrated in black and white with my main medium being charcoal due to its ability to form and cast by using layers. I use this element to add expressive additions, shading, and line work to my art. The ideas that I want to focus my work on are freedom of expression and creation where I can simply create in-the-moment work that a viewer of the piece might personally relate to or simply admire. Concepts that I feel drawn to from inside and outside of art are bold and dynamic pieces that portray movement or expression while also taking up space. I have always been drawn to contrasting elements such as lighting and shading because of their ability to add a tone to the piece that wasn’t there before. An element I tend to focus on in art is organic pieces because of the immersive aspect of the movement an organic shape or line can bring to create the desired movement in a piece. Other elements in combination are value and composition. It also utilizes organic shapes and lines tied with a value of contrast and form that feels unique to each character to create diversity. Kristian Canada
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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; both teacher heads agree on what is shown here.
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".