International Psycho-Oncology Society (IPOS) Psychosocial Academy - Training Workshops in Psychiatric and Psychological Issues in Cancer and Palliative Care (Ferrara, October 16-17, 2006)
Bibliographic record
Abstract
Within the 8th World Congress of Psycho-Oncology and the Psychosocial Academy, organized by the Section of Psychiatry Univesity of Ferrara, top worldwide experts conducted 13 high-quality 1-day or 2-day intensive and experiential workshops, on the most important topics of psycho-oncology and palliative care, namely \n1. Intervention Techniques in Group Dynamics with Couples: Coping with Illness and Death (Lea BAIDER, Psycho-Oncology Unit, Institute of Oncology, Hadassah University Hospital, Jerusalem, Israel); \n2. Stress, Burnout and Renewal-the Plight of Professional Cancer Caregivers (Walter BAILE, Professor and Chief of Psychiatry, University of Texas MD Anderson Cancer Center, Houston, Texas, USA - Anna COSTANTINI, Chief of the Psycho-Oncology Unit, Sant’ Andrea Hospital, Second Faculty of Medicine, University La Sapienza, Rome, Italy); \n3. Psychosocial Interventions in Cancer Patients (Fawzy I. FAWZY, Professor of Psychiatry and Executive Vice-Chair of the Department of Psychiatry and Biobehavioral Sciences, UCLA School of Medicine, Los Angeles, California, USA); \n4. Common Problems in Conducting Supportive Psychotherapy: Helping the Clinician Survive (Jimmie C. J. HOLLAND, Wayne E. Chapman Chair, Department of Psychiatry and Behavioral Sciences, Memorial Sloan-Kettering Cancer Center, New York, New York, USA); \n5. Psychosocial research. Part I & II Aims and methods / Writing of applications and scientific publications (Christoffer JOHANSEN, Head of the Department of Psychosocial Cancer Research, Institute of Cancer Epidemiology, Danish Cancer Society, Copenhagen, Denmark); \n6. Treating Traumatic Stress in Cancer Patients (David SPIEGEL, Professor of Psychiatry and Associate Chair of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, California, USA); \n7. Cultural Issues in Psycho-Oncology (Antonella SURBONE, Associate Professor of Ethics and Internal Medicne, New York University, USA); \n8. Spirituality and Meaning-Centered Group Psychotherapy Interventions in Advanced Cancer (William BREITBART, Chief of Psychiatry Services, Department of Psychiatry and Behavioral Sciences, Memorial Sloan-Kettering Cancer Center, New York, New York, USA); \n9. Organizing and Growing a Psychosocial Oncology Service (Barry BULTZ, , Director of the Department of Psychosocial Resources, Tom Baker Cancer Center, and Chief of the Division of Psychosocial Oncology, University of Calgary, Calgary, Alberta, Canada - Matthew J. LOSCALZO, Director of Patient and Family Support Services, Rebecca and John Moores Cancer Center, University of California San Diego, La Jolla, CA, USA); \n10. Family focused Grief Therapy during Palliative Care and Bereavement (David KISSANE, Professor of Psychiatry, Alfred P. Sloan Chair & Chairman of the Department of Psychiatry & Behavioral Sciences, Memorial Sloan-Kettering Cancer Center, New York, New York, USA); \n11. The Five Therapeutic Tools of Art Therapy in Psycho-Oncology (Paola LUZZATTO, ATR-BC, Faculty Member, Art Therapy Italiana, Milano-Bologna, Italy); \n12. Sexual Issues in Oncology: Between Eros and Thanatos (Michele TOMAMICHEL, Director of the Socio-Psychiatric Organization, Lugano, Switzerland); \n13. Therapy in Action: Sharing Ideas and Skills in Use of Cognitive Behaviour Therapy (Maggie WATSON, Head of Psychological Medicine, Royal Marsden Hospital, Sutton, Surrey, UK)
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.045 | 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".