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Record W2884955117 · doi:10.1188/18.cjon.398-406

Oncology Volunteers: The Effect of a Personal Cancer History on Compassion and Psychological Well-Being

2018· article· en· W2884955117 on OpenAlexaff
Alexandra Meyer, Chelsea Moran, Tanya R. Fitzpatrick, Jochen Ernst, Annett Körner

Bibliographic record

VenueClinical journal of oncology nursing · 2018
Typearticle
Languageen
FieldPsychology
TopicMindfulness and Compassion Interventions
Canadian institutionsMcGill University
Fundersnot available
KeywordsMedicineCompassionOncologyCancerInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: The impact of support work on volunteers with a personal history of cancer has rarely been examined, despite the possibility that supporting distressed individuals may become a psychological burden for someone who has faced a life-threatening disease themselves. OBJECTIVES: The purpose of this study is to compare compassion, self-compassion, self-coldness, and psychological well-being of oncology volunteers to the general population and clinical samples. METHODS: Volunteers completed questionnaires on demographic and volunteer work-related characteristics, the Compassion Toward Others Scale, the Self-Compassion Scale, and the Psychological General Well-Being Index. FINDINGS: Overall, volunteers indicated higher levels of self-compassion and psychological well-being and lower levels of self-coldness than clinical and community samples. Peer volunteers were less satisfied with their volunteer work and reported worse general health and psychological well-being than volunteers without a cancer history.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.658
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0080.000

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 head0.118
GPT teacher head0.507
Teacher spread0.389 · 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.

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

Citations6
Published2018
Admission routes1
Has abstractyes

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