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Record W3003810550 · doi:10.5737/236880763013842

To ring or not to ring: An interpretive description of cancer patients and caregivers exiting treatment

2020· article· en· W3003810550 on OpenAlexaffvenue
Abigail Bridarolli, Jude Spiers, Edith Pituskin

Bibliographic record

VenueCanadian Oncology Nursing Journal · 2020
Typearticle
Languageen
FieldMedicine
TopicCancer survivorship and care
Canadian institutionsUniversity of Alberta Hospital
Fundersnot available
KeywordsMilestoneRingingCancer treatmentCancerMedicinePsychologyHistoryEngineeringInternal medicine

Abstract

fetched live from OpenAlex

The "ringing of the bell" (RTB) ritual upon the completion of cancer treatment is a common tradition in many centres. There is a paucity of research investigating the impact of this experience on the cancer patient and their caregivers exiting treatment. The purpose of this study was to identify key concepts within the experiences of cancer patients and their caregivers related to the ritual of RTB. An interpretive description (ID) approach was used including open-ended interviews with two cancer patients and their two caregivers. All four participants perceived the experience of RTB as being a positive aspect in the transition out of active cancer treatment. Moreover, RTB created a sense of community and was an important milestone that was symbolic of returning back to "normal life" after cancer treatment. Future work should examine the effects of rituals such as ringing the bell among diverse patient populations and across the cancer transition continuum.

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 imitation

Not 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.

metaresearch head score (Codex)0.013
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.066

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.024
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0120.018
Scholarly communication0.0070.006
Open science0.0020.007
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0020.000

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 head0.052
GPT teacher head0.348
Teacher spread0.297 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations7
Published2020
Admission routes2
Has abstractyes

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