MétaCan
Menu
Back to cohort

Construction and validation of Comics at children with acute lymphocytic leukemia

2024· article· en· W4391684447 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEscola Anna Nery · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicHealth Education and Validation
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsComicsMedicineAcute lymphocytic leukemiaLeukemiaLymphoblastic LeukemiaInternal medicineArtLiterature

Abstract

fetched live from OpenAlex

Abstract Introduction Cancer has an impact on the lives of children and their families. Comics can be a strategy to strengthen the bond and communication between professional/patient/family. Objective To develop and validate an instructional/educational material, in the format of Comics, aimed at children hospitalized with acute lymphocytic leukemia. Methodology Methodological study developed in nine stages: preparation of the research project; content definition and selection; language adaptation; inclusion of illustrations; construction of a pilot material; validation of the material; layout; final printing and availability. Validation took place with 10 specialists between March and May 2022, using the Health Education Content Validation Instrument. Results 5 Comics were created, with 6 main characters, requiring 63 hours of work. They were divided by themes (gastrointestinal disorders; hemorrhagic cystitis; problems related to self-esteem and self-image; risk of infection and bone pain) that obtained a satisfactory global Content Validity Index between 0.78 and 0.87. Conclusions and implications for practice Comics can be used as an attractive and reliable source of information about the disease, supporting information during hospitalization and preparation for discharge.

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)0.000
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 score0.513
Threshold uncertainty score0.271

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.024
GPT teacher head0.333
Teacher spread0.309 · 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