MétaCan
Menu
Back to cohort
Record W4413930060 · doi:10.1177/14777509251372984

Therapeutic doublethink: Making a case for the acceptability of unrealistic optimism in patients at end-of-life

2025· article· en· W4413930060 on OpenAlexaff
Irene Ying, James Downar

Bibliographic record

VenueClinical Ethics · 2025
Typearticle
Languageen
FieldPsychology
TopicOptimism, Hope, and Well-being
Canadian institutionsOttawa HospitalBruyèreUniversity of OttawaSinai Health SystemUniversity of Toronto
Fundersnot available
KeywordsOptimismPsychologyMedicinePsychotherapist

Abstract

fetched live from OpenAlex

George Orwell coined the term "doublethink" to describe the concept of "holding two contradictory beliefs in one's mind simultaneously, and accepting both of them." Patients at end-of-life may be using “Therapeutic Doublethink” as a psychological mechanism to cope with the cognitive dissonance resulting from accepting a terminal diagnosis and desiring curative therapy. To develop the concept of Therapeutic Doublethink, we explored the literature on Unrealistic Optimism and decision-making, then grounded them in existing psychological and neurobiological concepts. Functional neuroimaging studies can help to explain the biological mechanisms that permit Unrealistic Optimism and Therapeutic Doublethink to exist, including a failure to track less desirable information and a focus on outcomes without considering the actions required to achieve them. These findings help us appreciate the challenges patients face when trying to make “rational” treatment decisions. They also raise questions about the effectiveness and potential harm of truth-telling, which is a common approach used by physicians who are confronted by Unrealistic Optimism. In some cases, physicians may be able to use Therapeutic Doublethink to harness the beneficial aspects of Unrealistic Optimism while simultaneously helping patients accept the terminal nature of their condition. This approach may be conceptually and ethically challenging for many physicians, but has important implications for improving patient care.

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)0.006
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.402
Threshold uncertainty score0.653

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.185
GPT teacher head0.502
Teacher spread0.317 · 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 designObservational
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
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueClinical EthicsSame topicOptimism, Hope, and Well-beingFrench-language works237,207