Outcome summary of the scientific program of the 16th IRPA Congress
Bibliographic record
Abstract
The 16th International Congress of the International Radiation Protection Association (IRPA16), held in conjunction with the 69th Annual Meeting of the Health Physics Society (HPS) in Orlando, USA, provided an excellent platform for radiation protection professionals to exchange knowledge and advancements in radiological protection science and practice. The event featured 1241 participants from 67 countries, with 241 oral presentations and 440 posters spanning 11 thematic areas, including radiation health effects, dosimetry, medical applications, nuclear energy, and emergency preparedness. Key discussions covered updates on radiological protection systems, new findings in low-dose radiation epidemiology, and advancements in radiation measurement and dosimetry. Special focus was given to education and training, stakeholder engagement, and the integration of ethical considerations into radiological protection practices. The congress also highlighted emerging challenges in non-ionising radiation (NIR), medical radiation safety, and radioactive waste management. Notably, the prestigious Rolf M. Sievert Award was presented to Dr Maria del Rosario Perez for her significant contributions to global radiation protection, and the Gold Medal for Radiation Protection was awarded to Dr Ohtsura Niwa for his work in community engagement following the Fukushima accident. IRPA16 reinforced the importance of harmonising radiation protection standards globally and fostering interdisciplinary collaboration to address emerging scientific and societal challenges in radiological safety.
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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 | 0.010 | 0.017 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.111 | 0.052 |
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".