Bibliographic record
Abstract
Innovative textile-based artwork exploded across the Canadian Prairies in the second half of the twentieth century. Melding craft traditions with modern and modernist movements in art and theory, a diverse body of creators opened a beautiful new chapter in textile art. Prairie Interlace brings together some of the most important scholars of art and craft in Canada to examine the work of forty-eight artists working with textiles from the 1960s to 2000. Recapturing and recording lost histories, this book explores both artists working with textiles and centres of textile study and production, paying special attention to the contexts in which artworks were produced. Indigenous scholars, experts in textile techniques, and experts in Prairie textile history provide fascinating insight into an artistic movement which, until now, has been largely overlooked. Featuring over one hundred and fifty beautiful full-colour images of textile works, many of which have never before been photographed for print, Prairie Interlace provides an opportunity to discover a fascinating movement which has not received the attention it deserves and invites further investigation of this rich period in Canadian art history. Developed from the travelling exhibition of the same name, Prairie Interlace is a collaboration between Nickle Galleries, University of Calgary in Calgary, AB and the MacKenzie Art Gallery, Regina, SK.
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) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.018 | 0.004 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.047 | 0.005 |
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".