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
has 11,000 members from the USA and many other countries. I have managed large research projects, am active in consulting, and enjoy all topics in geotechnical engineering. I play a lot of tennis, a bit of piano, and used to play rugby and soccer. I have been fortunate to win many awards. the most prestigious being the ASCE Ralph Peck Lecture from the USA and the CGS Geoffrey Meyerhof Award from Canada. I believe that ISSMGE is our international family and that it is our duty to support it and to be active in it. Talking about family, Janet is my wife, Natalie and Patrick are my children. As soon as I became a candidate for the position of President of ISSMGE, I became a “citizen ” of 84 countries. As a “citizen ” of your country, I am interested in helping you with any request you have for changes in ISSMGE. The overarching idea of my candidacy is to engage the members in participating in ISSMGE and shaping its future. I will listen to your requests and try to implement them as much as possible. In the meantime, I propose to work on the following issues.
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 | 0.002 |
| 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) | 0.001 | 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