Jean Louis Salager: A life of service to applied surfactant science
Bibliographic record
Abstract
Abstract This article celebrates the illustrious career and scientific legacy of Prof. Jean‐Louis Salager, recipient of the prestigious Samuel Rosen Memorial Award presented by the American Oil Chemists' Society (AOCS) in April 2020. The award acknowledges his over 50 years of groundbreaking contributions to the field of surfactant chemistry, honoring individuals whose work has had a profound impact on both industry and academia. This tribute details Prof. Salager's lifelong contributions, which extend beyond his remarkable scientific discoveries to encompass a profound influence on generations of researchers, many of whom now continue his legacy across the globe. This article brings together the reflections of colleagues and collaborators from the global stage—scientists and professionals inspired by Prof. Salager's mentorship and vision, many representing the Venezuelan diaspora whose careers he shaped with his guidance and support. Together, they underscore the enduring impact of Prof. Salager as a teacher, mentor, and friend, whose work and mentorship continue to inspire and shape the field of surfactant chemistry and interfacial science around the world.
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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 | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.005 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.004 | 0.012 |
| Insufficient payload (model declined to judge) | 0.010 | 0.007 |
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".