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
Abstract Before 2005, the term ‘teetering’ was relegated to the annuls of history as the term ‘fluidization’ was commonly utilized to describe gas–solids contacting processes. In his epochal article “Teetering”, examination of liquid‐fluidizing beds used for classification of minerals by size (sizing) or density (sorting), Norman Epstein described in detail the current understanding of particle segregation and mixing in liquid‐fluidized beds. Looking back in time, Dr. Epstein described the state‐of‐the‐art of modern uses of a traditional engineering technology and connected a historical framework to new opportunities for advancement. In the spirit of this re‐examination, an investigation of alternative ways of understanding this phenomenon are presented as inspired by the presentation of the contents of his ‘Teetering’ article at his 60th anniversary lecture to the Department of Chemical & Biological Engineering at the University of British Columbia. This article focuses on alternative concepts of construction for examination of teetering principles and further suggestions for avenues of research in this field and beyond.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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