Bibliographic record
Abstract
Shawn Serfas grew up exploring the northern reaches of Saskatchewan’ lakes and river systems Saskatchewan. Although initially drawn to an academic career in the environmental sciences, Serfas pursued Fine Arts and Art History degrees in Saskatchewan as well as a Master of Fine Arts degree at the University of Alberta. His interests include contemporary painting, drawing and printmaking practices. His work echoes a reflection on relational abstraction, environmental aesthetics, the landscape as well as issues bordering abstraction and representation. Serfas is profoundly aware of human intervention on natural resources and of its devastating consequences. His series Inland and Portrait of a Mark appeared in the 2016 exhibition Inland curated by Stuart Reid at the Rodman Hall Art Centre, Brock University, St. Catharines. Richard Fausset was affected by the passage of Hurricane Katrina over New Orleans, Louisiana and its surroundings in 2005. His piece of creative writing investigates how human life impacts nature in a bayou, and vice-versa. Serfas’ artworks and Fausset’s fictional narrative elicit a dialogue between north and south yet offer two distinct reflections on pollution and the insufficiently controlled use of the environment in North America. \nShawn Serfas’ most recent exhibitions include Grid Terrain, Gallery MX, Montreal, Quebec, Alloyed Prairie, Bugera Matheson Gallery, Edmonton, Alberta, Portrait of a Mark, SOPA Fine Arts Gallery, Kelowna, British Columbia in 2018; Pseudo-Fiction, (with Catherine Parayre), Alliance Francaise – Galerie Pierre Léon, Toronto, Ontario in 2017; Cleave and Trench, Bugera Matheson Gallery, Edmonton, Alberta in 2016; Dig, Machine Shop Gallery, Algoma University, Sault Ste. Marie, Ontario in 2015; and Out of Sorts, (with William Griffiths), Sopa Fine Arts, Kelowna, British Columbia in 2014.
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 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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; a candidate call from one teacher head, 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".