Bibliographic record
Abstract
Born in Edmonton, Alberta, and growing up on the Enoch Cree Nation, Kassia was first introduced to art as a young child when an artist came to the community to give some classes.From there her artistic inspiration was broadened during junior high and high school art classes.During her time in university, Kassia took classes at Pro's Art in Edmonton, where she was introduced to oil painting and techniques of the old masters.Classes began by learning how to paint fruits, and flowers.Once students could handle such subject matter, they were invited to paint anything, from landscapes and animals to portraits.After moving to Calgary, Kassia took abstract acrylic classes at the Calgary School of Arts, where students were encouraged to create and try new things by using anything from acrylic paint, gold foil, matte and gloss mediums to modelling paste.She took further classes at the Alberta College of Art and Design via continuing education courses.Such classes consisted of a drawing course titled "hands and feet", a mixed media course, and illustration.Currently, Kassia lives in Vancouver, where she attends the Vancouver School of Media Arts and studies 3D character animation.3D characters are brought to life by combining real life references, various principles of animation, and Maya software.Other classes being taken at VanArts include 3D modelling, Photoshop, Life Drawing, and Story/ Visual Language.Kassia's artistic inspiration comes from travelling, photos, nature, dreams, and the Aboriginal Culture.Some exhibits that Kassia has partic-
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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; 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".