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Record W2149092470 · doi:10.1177/1043454208315547

I'll Show Them: The Social Construction of (In)Competence in Survivors of Childhood Brain Tumors

2008· article· en· W2149092470 on OpenAlexaff
Katherine Boydell, Elaine Stasiulis, Mark Greenberg, Corin Greenberg, Brenda J. Spiegler

Bibliographic record

VenueJournal of Pediatric Oncology Nursing · 2008
Typearticle
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsPediatric Oncology GroupHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsCompetence (human resources)Childhood cancerFeelingSocial competencePsychologyNarrativeDevelopmental psychologySocial isolationQualitative researchClinical psychologyPsychotherapistMedicineSocial psychologySocial changeCancerSociologyPolitical science

Abstract

fetched live from OpenAlex

Multimodal therapy for the treatment of childhood cancer has resulted in increased survival rates, yet as growing cohorts of children mature, late effects are becoming apparent. Specifically, brain tumor survivors tend to have poor social skills, peer relationship problems, academic difficulties, and delayed college entry. This article addresses findings specific to the unique experience of childhood cancer survivors as they transition from adolescence to adulthood. Qualitative methods involving focus groups and in-depth interviews with 14 childhood cancer survivors and 22 family members were used. The dialectic of incompetence/competence pervaded all narratives. Contradictory concepts of integration/ isolation, realistic/unrealistic goals, and the need for special help/no help were underscored by respondents. The struggle to deal with these contradictory factors led to the simultaneous resistance and acceptance of feelings of competence.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.035
Threshold uncertainty score0.535

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
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 head0.036
GPT teacher head0.337
Teacher spread0.301 · 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

Citations63
Published2008
Admission routes1
Has abstractyes

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