Klipsun Magazine, 2022, Volume 52 Issue 03 - Spring
Bibliographic record
Abstract
Dear Reader, When I was given the news that I would be the future editor-in-chief for Klipsun, I knew immediately the theme I wanted for the spring edition. Passion; (Noun) 1. a strong and barely controllable emotion. 2. an intense desire or enthusiasm for something. Passion lies within all of us, waiting like a starving beast ready to pounce. Unexpected, unbidden and sometimes unwanted. It stirs, waiting to open its jaws and howl. It guides us. Passion rules us all, and we obey. If we could live without passion, maybe we’d know some kind of peace. But we would be hollow. Empty rooms, shuttered and dank. We would be truly dead. I chose Passion as the theme for this quarter for a plethora of reasons. It means something different for everyone yet carries over similar traits with each interpretation. People relate it to a fire, the heart, a need, a want, a desire. Passion is a spark that you find in a person or in the arts. It is a guide or a friend and sometimes our master, pulling the strings like a puppeteer. Whatever it means to you, let it be something impactful and strong. This quarter we were lucky to have a collection of great writers to tell stories from different walks of life and capture the essence of what I was looking for. Stories of love lost or found, a dedication to the arts, overcoming the odds to follow your heart and finding meaning in the connections we make. As you read this issue, I hope you find yourself inspired by the beauty found in others and how powerful the resolve of the human spirit truly is. Reading these stories was an experience for me, and I hope it is for you as well. With warm regards, Tyler Brown
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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.566 | 0.518 |
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".