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Record W2046841208 · doi:10.1207/s15326888chc3101_1

An Introduction to Program and Research Initiatives of the STARBRIGHT Foundation

2002· article· en· W2046841208 on OpenAlex
Joseph P. Bush, Jordana R. Huchital, Susan J. Simonian

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueChildren s Health Care · 2002
Typearticle
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsnot available
FundersFondation pour la Recherche MédicaleAllen FoundationMicrosoft
KeywordsPsychological interventionPsychosocialFoundation (evidence)AnxietyPsychologyResearch programMedicineMedical educationNursingPsychotherapistPolitical sciencePsychiatry

Abstract

fetched live from OpenAlex

Abstract Media and technology-based interventions offer promise for helping children with chronic illness cope with physiological and psychosocial challenges of illness. Research evaluating the efficacy of such interventions is critical to their acceptance and implementation in clinical practice. This article provides an overview of 2 interventions developed by the STARBRIGHT(r) Foundation: STARBRIGHT World(tm), a private online network connecting children in hospitals in the United States and Canada, and STARBRIGHT Hospital Pals(tm), a program designed to ease the anxiety of preschool children undergoing radiation therapy treatment. Behavioral models for program design, as well foundations for research to assess program impact, are presented.

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.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.684
Threshold uncertainty score0.297

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.057
GPT teacher head0.431
Teacher spread0.374 · 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