Klipsun Magazine, 2002, Volume 32, Issue 04 - April
Bibliographic record
Abstract
At Klipsun, we don’t assign stories to our reporters. We editors toss out ideas and suggest ways to focus or expand stories, but our reporters are pretty much free to write about anything. Hence, we never know if dominant themes will exist until we pick seven or eight for publication and look at them together. Sometimes themes are obvious and sometimes it takes a little work and imagination to see them. As hard as I looked, I just couldn’t find any grand unifying themes in these stories. Sorry. What I can say is that they’re all about interesting people doing interesting things in and around Bellingham (Yes, the artificial reef story centers on Nanaimo, British Columbia, but it’s still fairly close. Give me a break. I’m trying.). For a relatively small city, Bellingham is blessed with an incredible variety of stories. Perhaps it has to do with being a college town or its proximity to an international border or its juxtaposition between the mountains and the water. Whatever the reason, this is a great town in which to be a writer. Several of these stories caught me by surprise. I’ve driven by Joe’s Garden countless times without ever thinking about the people who work there. It was my loss. I had no idea I could find out about my past lives or have my aura smoothed at the Church of Divine Man. I haven’t paid as much attention to Western’s sculpture collection as I should have. The folks living in Bellingham’s co-housing community are redefining domestic life just a few miles from my house and I didn’t know anything about them. I obviously need to get out more. Come to think of it, maybe Bellingham doesn’t have any more good stories than any other town. Maybe interesting people and stories are anywhere you really look for them. Either way, it bodes well for our magazine.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.012 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.336 | 0.261 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".