Aakideh: The Art & Legacy of Carl Beam
Bibliographic record
Abstract
Carl Beam, one of Canada’s most influential and significant artists, earned a reputation for being fearless, visionary and ultimately, unforgettable. From his early years spent at a residential school, this documentary explores how these early experiences not only impacted Beam’s life but also his art. Personal remembrances along with insights about his art and ideas are vividly illustrated through Beam’s artworks, family photos, interviews, performance videos, and journals. This award-winning documentary, co-directed by Robert Waldeck and Paul Eichhorn, was over six years in the making. It features unique digital animations inspired by Beam's art and an original soundtrack by Dan Drysdale. Aakideh premiered at the National Gallery of Canada in November 2010 and has since been screen throughout North America including at the Bell TIFF Lightbox (Toronto), International Festival of Film on Art (Montreal), and Smithsonian National Museum of American Indian (New York City).
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.016 | 0.004 |
| Scholarly communication | 0.011 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.106 | 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".