Klipsun Magazine, 2001, Volume 32, Issue 01 - December
Bibliographic record
Abstract
Editor’s Note During a late night in the Klipsun office, a woman named Jackie came in to sweep the floors — to clean up our mess. “Are you with Klipsun or are you with The Western Front?’ she asked me. "Klipsun,” I said, surprised she even asked. Jackie told me she loved to read Klipsun. She enjoyed the perspective the articles provided and sent it to her family. She told me, broom in hand, how she especially liked one article published in June. Klipsun magazine changes with each editor and each writer each quarter And I had little to do with the issue Jackie spoke of. In our current issue, I hope Jackie will find topics worthy to send to her family. We certainly tried to write about topics that affect us as well as our readers. Nearly three months have passed since Sept. I I and images of falling buildings are still fresh in our minds. In this issue, we investigated the concrete ways the attacks on New York and Washington, DC. have touched Bellingham. Books will be written about the Sept. I I Ripple Effects, but our four articles are the blood and sweat of four writers who sought to understand what has happened to our country and its citizens following the attacks. Four other articles concern not the attacks, but issues that persist in our lives. In Highs and Lows, one writer investigates the deaths of five Bellingham residents from extremely potent heroin and one writer shares her personal struggle with Seasonal Affective Disorder In After Hours, writers investigate two Bellingham pastimes: underwater hockey and club nightlife. In her humble assessment, Jackie set the standard for our magazine. She labors long into the night, yet she finds time to pick up an issue of K.ipsun, thumb through and allow the articles to affect her. She is our reader.This issue is for Jackie and for all of our readers.Thank you.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.233 | 0.202 |
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".