Bibliographic record
Abstract
Welcome to ISAHP 2022!It is a pleasure to welcome all members of our AHP/ANP community to our second virtual meeting.While we had decided to move the ISAHP in 2020 to a virtual meeting, at the time it was not apparent how successful it would be to host a meeting virtually!What we found is that it enabled researchers and practitioners from around the world to rapidly converge and share the latest accomplishments, concepts, and research in the application of AHP/ANP in an impactful, convenient, and low-cost manner.When my father, Dr. Thomas Saaty, passed away in 2017 the last thing he told our family was "always look forward, never look back."As a pioneer in planning he would have been a strong supporter of a virtual conference format, one in which we all get to leave behind the vestiges of the pandemic and "move forward" in our respective pursuits.I hope that you can appreciate the import of his statement and overall idea of "looking forward."I would also like to thank Rozann Saaty, my mother and the founder of the Creative Decisions Foundation (CDF).CDF provides funds to organize this symposium and also grants for scholars and students to attend this event.We also heartily thank our sponsors, Arama Consulting, Decision Lens, and The International Society of Multiple Criteria Decision Making, without which many of the scholarships would not have been available.This meeting, whose theme is "Decision-Making in Business Practice" is not only dedicated to Tom's memory and to his legacy but also to our desire to see this ground-breaking theory applied in actual practice, relevant to the most important decisions that organizations make in the world today.We also seek to recruit a new generation of AHP/ANP researchers and practitioners interested in promoting better decision making in an ever more ISAHP 2022 p. 13 complex world.Finally, I would like to express my recognition to all the members of the organizing committee: CDF president Rozann Saaty, program co-chairs Biesen Karpak, Marcel Minutolo and Elena Rokou, the head of the scientific committee Enrique Mu and Antonella Petrillo and our hard-working conference manager Lirong Wei.Without them this even would not have been possible.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.866 | 0.775 |
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".