Bibliographic record
Abstract
As an undergraduate student studying Interactive Systems Design, my work explores a variety of mediums – in which a focus on the creative aspect of perspective is carried throughout my work. With my complementary interests in art and technology, I have a preference and aptitude for experimenting with graphic design, digital illustration, and photography, as well as finding ways to work with a combination of these mediums in my projects. The first work I have submitted is titled "Our Prairie Skyline," a digital print I created using Adobe Photoshop. I created this piece as a part of the ART 136 Digital and Integrated Practice Foundations course, in which the work features a selection of my Saskatchewan sky snapshots in a digitally edited composite. This piece was also showcased at the Gordon Snelgrove Gallery in March 2023 as a part of the Indigenous Student Achievement Pathways (ISAP) Exhibition. The second work I have submitted is titled "The Unaccompanied Violin", which is a 22" x 30" graphite pencil drawing I also created as a part of the ART 136 course. After creating the piece, I later created an accompanying ekphrastic poem for the drawing as part of the ENG 120 Introduction to Creative Writing course. This piece was also showcased at the Gordon Snelgrove Gallery in March 2023 as a part of the Indigenous Student Achievement Pathways (ISAP) Exhibition.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.312 | 0.100 |
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".