Bibliographic record
Abstract
Ronald Spickett (1926- ) is a Calgary-based artist, poet, and Zen Buddhist lay priest. During his long career, he also taught studio art, both at the Alberta College of Art and Design and at the University of Calgary. Today, Ronald Spickett, also known by his Buddhist name of Gyo-Zo, is best known for a series of ambitious paintings he executed during the 1960s, paintings with Western themes such as posses and riders. However, the scope of Spickett's work proved to be much more diverse and includes genre paintings, landscapes, non-representational paintings, sculptures, and paintings with religious and spiritual themes. The artist's work, as Simmins' study shows, is not easily pigeon-holed; Spickett is more than a Western artist, more than a Buddhist artist, more than simply the sum of his paintings. Rather, Simmins argues, he is an "ideas-based" artist whose work reveals complexities and undercurrents that link him with the prevailing artistic currents of his times, yet also testify to his originality and unique style. Simmins was granted complete access to the artist's personal and professional papers and interviewed him on numerous occasions. Thus the artist's own statements on his life and work make an invaluable contribution to Spirit Matters: Ron (Gyo-zo) Spickett, Artist, Poet, Priest, and are considered alongside critical writings, broader studies in Canadian art history, and still larger currents in Canadian artistic and intellectual life.
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 | 0.003 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.010 |
| Scholarly communication | 0.013 | 0.009 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.006 | 0.008 |
| Insufficient payload (model declined to judge) | 0.105 | 0.051 |
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".