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Psychotherapeutic Approach for Advanced Illness: Managing Cancer and Living Meaningfully (CALM) Therapy

2020· article· en· W3101989999 on OpenAlex
Rickinder Sethi, Gary Rodin, Sarah Hales

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAmerican Journal of Psychotherapy · 2020
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsDistressMeaning (existential)Intervention (counseling)MedicineDiseasePopulationHealth careCancerPsychotherapistPsychologyGerontologyPsychiatry

Abstract

fetched live from OpenAlex

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.

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.

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)0.000
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.916
Threshold uncertainty score0.697

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.097
GPT teacher head0.418
Teacher spread0.321 · 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