Bibliographic record
Abstract
Pardon me for sounding overtly bleak, but it's a terrible time to be an artist.Fewer and fewer people sit down and pick up a book or turn off the television and go to a museum.Yet, starting with humble beginnings in pictographic caves, art has lasted longer than any dynasty, presidential term, or plastic product.I have faith that art is not going anywhere except museums and street corners and literary magazines.So, I suspect there will always be art and places to put it.As for the future of books?I'm not so sure.I do hope they last because the screens on iPhones are much too small and hurt my eyes.And there will always be artists too.Thank God for that, as poor and hopeless as the worst of them may be, for they keep art growing soundly still!In and out of the classroom, in basements and in dorm rooms, in studios art breeds like weeds.At Puget Sound, Crosscurrents stands as a testament to the artistic devotion that flows through our university's culture.Know the students that appear in this book are only a fraction of the creative talent and voice of our campus.Crosscurrents strives to cultivate artistic development, to keep the conditions right for incubation.Young art is a fragile and boisterous thing.This is why we are lucky: at our small campus we see artists thrive without the immediate pressure of the real and dangerous world.There are critics out there with pens as sharp as knives.And hostile audiences too, ready to be pacified by our upcoming artistic voices.Thank you to all who contribute to or support this publication and the wider arts.Remember, these times are desperate.So keep reading.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.687 | 0.473 |
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".