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Record W4206366171 · doi:10.1111/jspn.12367

Experience of childhood cancer: A narrative inquiry

2022· article· en· W4206366171 on OpenAlexaff
Megalai Thavakugathasalingam, Jasna Schwind

Bibliographic record

VenueJournal for Specialists in Pediatric Nursing · 2022
Typearticle
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsToronto Metropolitan UniversityOntario Tech University
Fundersnot available
KeywordsPsychosocialNarrativeNarrative inquiryErikson's stages of psychosocial developmentPsychologyIdentity (music)Narrative identityDevelopmental psychologyPsychotherapistAesthetics

Abstract

fetched live from OpenAlex

PURPOSE: To more fully understand the possible impact of childhood cancer on a young person's life through their own story. DESIGN AND METHODS: Using Connelly and Clandinin's narrative inquiry method, a participant named Noelle was engaged in a series of narrative interviews and a creative self-expression activity about her cancer experience when she was 12. Her story was examined through the three-dimensional space of experience (person, place, and time), and analyzed using Erikson's Psychosocial Stages of Development framework theoretical lens. RESULTS: Two significant narrative patterns emerged: identity and relationships. Although the physical effects of the cancer were successfully treated, the impact of this disease impacted Noelle's own psychosocial development as she was trying to evolve her relationships with peers and family, while grappling with her new identity as a cancer patient. PRACTICE IMPLICATIONS: Healthcare professionals need to intentionally increase their sensitivity to adolescent patients' lived experience of cancer. More specifically, there is a need for further education of healthcare professionals on the psychosocial impact of cancer in both the immediate and long-term trajectory of the cancer disease process.

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)0.001
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.502
Threshold uncertainty score0.823

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.047
GPT teacher head0.401
Teacher spread0.354 · 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 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

Citations6
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueJournal for Specialists in Pediatric NursingSame topicChildhood Cancer Survivors' Quality of LifeFrench-language works237,207