Bibliographic record
Abstract
For hundreds of years, sails provided the means for trade between distant places, for exploration and territorial expansion. They facilitated fierce competition between countries, rivalry that still exists in international sailing races. Sails signified the ship's origins, sometimes the crew's religion and culture. As working textiles, they were not always decorated, but the ones that were carried symbols and meaning beyond the purpose of the voyage itself. Sails have featured different textiles, from hemp in medieval Europe to the translucent mylar of today's racing yachts. They have their own aesthetic and practical presence, and can signify both extreme wealth and a dogged, even desperate self-reliance. They have been likened to wings and their worn panels used to swaddle dead sailors as their bodies were consigned to the waves. My current body of work "Sail" included learning how to make a simple set of sails (mainsail and jib) and to devise a system to display them in a gallery. I have embroidered them with double-sided embroidery that references pilot charts, tide charts, cloud formations and the relentless patching necessary on the long voyages of sailing ships. My intent is to examine ideas about the communal and individual knowledge in the maritime community, and by extension, in other peoples who are closely tied to the environment. As oil becomes a source of global warming, dire pollution and political instability, sails might be reconsidered as a means of propulsion and a statement of change. www.bettinamatzkuhn.ca
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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.015 | 0.044 |
| Scholarly communication | 0.015 | 0.014 |
| Open science | 0.001 | 0.014 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.022 | 0.003 |
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".