A TWIN INTERVIEW WITH DR B. ANDERSEN AND DR G. GOLDZWEIG BY THE JCR EDITORS IN CHIEF AWARDED TWO JCR BOARD MEMBERS BY INTERNATIONAL PSYCHO-ONCOLOGY SOCIETY (IPOS): BARBARA ANDERSEN (USA), WINNER 2023 ARTHUR M. SUTHERLAND AWARD AND MEMORIAL LECTURE; GIL GOLDZWEIG (ISRAEL), WINNER 2023 NOEMI FISMAN AWARD FOR LIFETIME CLINICAL EXCELLENCE.
Bibliographic record
Abstract
In advance of the 24th Annual World Congress of Psychosocial Oncology and Psychosocial Academy, held in Milan, Italy from August 31st to September 3rd, 2023, the International Psycho-Oncology Society (IPOS) has announced the winners of the 2023 IPOS Awards. The Journal of Cancer Rehabilitation is proud to announce that two of our very own Editorial Board Members, Dr. Barbara Andersen and Dr. Gil Goldzweig, have been honored as recipients of this year’s IPOS awards. Specifically, Dr. Barbara Andersen has been selected as the winner of the 2023 Arthur M. Sutherland Lifetime Achievement Award and will be honored by being invited to give the Memorial Lecture at the IPOS World Congress. , while Dr. Gil Goldzweig has been selected as the winner of the 2023 Noemi Fisman Award for Lifetime Clinical Excellence. This twin interview is dedicated to both esteemed colleagues and Journal of Cancer Rehabilitation board members.
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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 | 0.008 | 0.053 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.006 | 0.019 |
| Insufficient payload (model declined to judge) | 0.011 | 0.005 |
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".