Psychotherapeutic Approach for Advanced Illness: Managing Cancer and Living Meaningfully (CALM) Therapy
Bibliographic record
Abstract
With advances in medical treatment and an aging population, there is an increasing global burden of advanced and life-limiting illnesses. Individuals living with these conditions may experience substantial distress related to disease progression, changes in important roles and life goals, loss of meaning, and uncertainty about the future, but there has been limited evidence to inform their psychotherapeutic care. Managing cancer and living meaningfully (CALM) therapy is a brief, evidence-based, semistructured intervention that provides a framework to address practical issues, such as navigating the health care system and treatment decisions, and existential issues, including finding meaning and hope in the face of mortality. CALM has been shown to alleviate and prevent depression and to facilitate preparation for the end of life among patients with advanced cancer. It is being adapted to other life-threatening illnesses and different cultural contexts and health care settings. Advocacy is needed to support such approaches for individuals living with advanced and life-threatening illness.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".