Bibliographic record
Abstract
The Engineering Systems Design and Analysis (ESDA) conference was started by the then Petroleum Division of the American Society of Mechanical Engineers (ASME). Petroleum Division was, and still is under the umbrella organization International Petroleum Technology Institute of ASME International, one of the very active, forward looking, and entrepreneurial group of engineers whose sole purpose is to serve their membership through technical activities that will benefit society at large. Their leaders have always been very creative, open minded, and helpful to the engineers they served as well as all who needed their expertise. It was under this type of leadership that ESDA was born in 1992. In 2000, after the 5th Biennial Conference in Montreux, Switzerland, a meeting was held by the Petroleum Division Chairman, the General and Technical Program Chairmen of ESDA 2000, two staff members from the Petroleum Division, the Chair of the Swiss Section, and the ASME Region XIII Vice President where it was decided to turn over the responsibilities for future conferences of ESDA to the international region of ASME, Region XIII. Thus, this, the third conference since then, has become the premier conference for this region of ASME and is still thriving at this the 8th Biennial Conference in Torino.
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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.029 | 0.016 |
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".