"My Rendition of Arthur Lismer's Isle of Spruce," "Jackpine," "Goldfinch," "Cardinal," "Blue Jay"
Bibliographic record
Abstract
I am a senior student at the University of Saskatchewan majoring in Psychology. I continue to take history classes and have a love of education. I have always enjoyed painting and have been involved in art since high school. I have submitted my art to various Facebook pages, including the USask Community Art Group as well as SWAA (Saskatchewan Wildlife Artists Association), and have participated in their shows in Prairieland Park, Reflections in Nature and the Fall Saskatoon Exhibition. I have also been involved in VASU Silence Gallery Shows and the 292 Exhibitions of the student-run gallery on campus. I also greatly enjoy participating with the students in in medias res magazine. I have quite a few paintings on display at a local clinical practice. I also contribute to worthwhile charities throughout the city and have paintings displayed in many local businesses and institutions. I have a painting on display at the university's observatory, the Ukrainian Studies Department, and Student Wellness. For me, my art is my contribution to the well-being of others. I have a philanthropy project, which has been a personal journey involving painting for worthwhile charities. I feel that my cheery, bright acrylic paintings provide happiness and goodwill to others. As a child, I was raised by parents who cultivated a sense of hospitality, which has led me down this pathway.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.004 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.095 | 0.031 |
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".