Bibliographic record
Abstract
exhibition Legends of Our Times: Native Ranching and Rodeo Life on the Plains and Plateau.Museum exhibitions can take a surprisingly large portion of a curator's working lifetime, and this one has been no exception.From its conception in 1992 to the exhibition opening and book publication in 1998, and beyond to the development of a travelling show in 2000, this project will be almost a decade in the making.Along the way the curators have been fortunate to have had extraordinary support.The themes, content, and presentation have been shaped by the Native ranchers and rodeo participants whose story is being told.The idea for the exhibition itself came from a discussion between Morgan Baillargeon and ten Native cowboys from Hobbema, Alberta, in 1992.A consultative team of Charlie Bear, Caen Ely, Carol Gottfriedson, Fred Heathershaw, Dutch Lunak, and Tyrone Potts met the curators to begin to define the key themes and to suggest sources of information and support.Over the next few years some of these committee members left the project, while new members were added.Mike Bruised Head, Fred Holmes, Pat and Jenny Provost, Marlowe Kenny, and Charles and the late Verna Heathershaw not only brought their personal experiences to the discussion but also shared cultural perspectives from their diverse communities.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.588 | 0.358 |
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".