Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
I take a lot of ribbing about how I eat, sleep, and breathe my “quality sermon” to anyone who will listen. And the critics are right in that I eat restaurant food, sleep in hotel beds, and breathe dry stale airplane and meeting room air to deliver my message. You know, having a passion for one’s profession is critical to one’s happiness and success; therefore, I apologize neither for my passion nor for my sermon. In the plenary session, “Simply Powerful QMS,” at the CLSI meeting this past April in Philadelphia, Dr. Michael Noble, from the University of British Columbia in Vancouver, BC, showed a visual that summarized the part of my quality sermon where I make a plea for laboratories to just get out there and get started on the road to quality management. He calls it the “Quality Management Ladder to Success.” The visual depicts an upright ladder …
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.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it