Bibliographic record
Abstract
When I began a personal project in 2010 I undertook research about the construction and history of sails: the forms that they take, the knowledge they embody, the symbols and decoration they carry. One of my earliest memories is from when my Father took me along on a trip to the Miller Sails loft in Vancouver, around 1960. The light poured in through tall windows. Strips of fabric were laid out on an enormous hardwood floor. It had a few openings in it where women sat at sewing machines that were level with the rest of the floor, so that as they sewed the long strips together, the weight was supported. Bolts of cloth were stacked on shelves at the side. At the window sat a man wearing a sailmaker’s palm (a kind of thimble on the ball of your thumb), sewing hanks onto the luff of a sail with heavy waxed thread. I was captivated. Another significant memory was of sailing our little boat with a motley group of others out from our moorings in Vancouver to meet the Japanese windjammer training ship Kaiwo Maru. It was a gloomy day and we were disappointed to see the bare masts approaching as the vessel powered towards us. But, as she got closer we could make out the cadets, little black ants in the rigging, and suddenly, like a flower unfolding, the sails blossomed. A flower that crossed oceans. In the 1960s, my parents ’ small boat had sails that were made of Egyptian cotton. My favorite was the
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
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 teacher head, 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".