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Record W7010645242

International Psycho-Oncology Society (IPOS) Psychosocial Academy - Training Workshops in Psychiatric and Psychological Issues in Cancer and Palliative Care (Ferrara, October 16-17, 2006)

2006· other· en· W7010645242 on OpenAlexaboutno aff

Bibliographic record

VenueInstitutional Research Information System University of Ferrara (University of Ferrara) · 2006
Typeother
Languageen
FieldAgricultural and Biological Sciences
TopicHymenoptera taxonomy and phylogeny
Canadian institutionsnot available
Fundersnot available
KeywordsPsychosocialPsychological interventionCoping (psychology)Palliative careCancerIntervention (counseling)Psycho-oncologyPsychosomatic medicine
DOInot available

Abstract

fetched live from OpenAlex

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)

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.524
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.125
GPT teacher head0.342
Teacher spread0.218 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2006
Admission routes1
Has abstractyes

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