40th Annual CAPO Conference—Responding to the Human Experience of Cancer and Caring for the Soul: Building on 40 Years of Global Leadership in Psychosocial Oncology
Bibliographic record
Abstract
On behalf of the Canadian Association of Psychosocial Oncology, we are pleased to present the Abstracts from the 2025 Annual Conference, titled "Responding to the Human Experience of Cancer and Caring for the Soul: Building on 40 years of global leadership in psychosocial oncology". The 40th Annual CAPO Conference was held in Toronto from 23 April 2025 to 25 April 2025. In an era marked by the rapid advancement of biologically focused precision medicine, it is imperative to redirect our attention towards the human experience of illness and the soul of medicine. Biomedicine has conceptualized illness in ways that have proved profoundly productive from a curative and biological point of view. But it cannot-and it does not pretend to-illuminate the experience of living with it. (Hurwitz 2009). This conference aims to delve into the intricate interplay between cutting-edge biomedical technologies inclusive of artificial intelligence and big data and the deeply personal narratives of individuals navigating illness. By shifting the focus from mere disease pathology to encompassing the holistic human experience, we aspire to foster a more compassionate and patient-centered approach to healthcare with psychosocial support at the core of humanistic care that can improve survival and well-being in all aspects of a whole-person approach to illness. Through interdisciplinary dialogue and introspection, we endeavor to illuminate the profound connection between mind, body, and spirit in the practice of medicine, reaffirming the timeless significance of empathy, understanding, and human connection in healing and psychosocial aspects of care as fundamental to living well with cancer. This conference brought together key stakeholders including multidisciplinary professionals from nursing, psychology, psychiatry, social work, spiritual care, nutrition, medicine, rehabilitation medicine, occupational health and radiation therapy for both adult and pediatric populations. Participants included clinicians, researchers, educators in cancer care, community-based organizations and patient representatives. Patients, caregivers and family members presented abstracts that speak to their role in managing cancer experiences and care. Over two hundred (200) abstracts were submitted for presentation as symposia, 20-minute oral presentations, 10-minute oral presentations, 90-minute workshops and poster presentations. We congratulate all the presenters on their research work and contribution.
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 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 | 0.015 | 0.015 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.009 |
| Scholarly communication | 0.015 | 0.006 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.009 | 0.016 |
| Insufficient payload (model declined to judge) | 0.035 | 0.008 |
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".