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465 Global child rights dialogue (GCRD): what children across the globe think about their right to health

2021· article· en· W3205454111 on OpenAlexaff
Ziba Vaghri, Leyla S. Namazova-Baranova

Bibliographic record

VenueAbstracts · 2021
Typearticle
Languageen
FieldHealth Professions
TopicChild and Adolescent Health
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsMedicineGlobeChild healthGlobal healthPediatricsPathologyPublic health

Abstract

fetched live from OpenAlex

<h3></h3> GlobalChild is an international project that is operationalizing the United Nations Convention on the Rights of the Child (CRC) using a comprehensive indicator framework to develop a global child rights monitoring platform. The CRC is grounded on four guiding principles: non-discrimination; best interests of the child; the right to life, survival and development; and respect for the views of the child (child participation). Acting upon the principle of child participation as a guiding principle of the CRC, we launched the Global Child Rights Dialogue (GCRD) to seek children’s opinions about their rights, with the objective to incorporate this feedback into the GlobalChild indicators. We recruited facilitators across the globe to host workshops with children in their local areas. Using specially developed child-friendly versions of all substantive rights of the CRC, children were asked for their opinions about certain rights and how to know whether they were being implemented or not. Children at one of the sites in Russia specifically discussed articles 23 and 24: the rights to health and health services, and the rights of children with disabilities, respectively. Workshops followed Lundy’s Model of Participation, which includes the four elements of space, voice, audience and feedback. First, children were informed about the right to be discussed to assist them to form and voice their opinions within the safe space of the workshop. Facilitators (the audience) listened to and recorded children’s opinions. Upon analysis of all collected data, emerging themes were incorporated into the GlobalChild indicators. Finally, a child-friendly report was prepared to provide feedback to the children on how their input was used. Data collected, from 1,836 children in 52 sites across the globe, confirmed that when children have a safe space, time, and a non-judgmental audience, they can share opinions and insights that are often underestimated by adults. These opportunities are conducive to improving development of the children, to teaching them active listening and to instilling values of tolerance and lifelong learning. This presentation will share the collective input on articles 23 and 24 from children across the globe, as well as some of the specific outcomes from the workshops in Russia.

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)0.018
metaresearch head score (Gemma)0.013
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 score0.018
Threshold uncertainty score0.095

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.013
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0090.019
Scholarly communication0.0100.012
Open science0.0010.012
Research integrity0.0060.006
Insufficient payload (model declined to judge)0.0120.001

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 head0.023
GPT teacher head0.367
Teacher spread0.345 · 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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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