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Record W1448884077

The UN Convention as a Basis for Elaborating Rights of Children In Sport

2000· article· en· W1448884077 on OpenAlexvenueno aff
Kristine De Martelaer, Paul De Knop, Marc Theeboom, Lies Van Heddegem

Bibliographic record

VenueJournal of leisurability · 2000
Typearticle
Languageen
FieldMedicine
TopicEthics and Legal Issues in Pediatric Healthcare
Canadian institutionsnot available
Fundersnot available
KeywordsConventionHuman rightsTreatyPolitical scienceDeclarationNegotiationLawConvention on the Rights of the ChildConvention on the Rights of Persons with DisabilitiesGeneral assemblyGovernment (linguistics)International human rights lawSociology
DOInot available

Abstract

fetched live from OpenAlex

More and more, our society is focussing attention on children and youth. Today, there is an increasing number of child related initiatives such as children's news bulletins on television, children's hairdressers, and child friendly holidays. During the 20th century, there has been an evolution from children and youth as an object of protection to a focus on child and youth culture. A central contribution to this evolution has been the UN Convention on the Rights of the Child. This legal instrument was the product of 10 years of negotiation among government delegations, intergovernmental organizations, and non-governmental organizations (NGO's) from every part of the world (Johnson, 1992). The Convention was adopted unanimously by the UN General Assembly on November 20th, 1989, exactly 30 years after the adoption of the Declaration of the Rights of the Child, and 10 years after the International Year of the Child (Verhellen, 1994). When the Convention entered into force on September 2nd, 1990, more than three quarters of UN member states ratified it. Today, 191 States have ratified this international human rights treaty, with the exception of the United States of America and Somalia (David, 1999a).

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)0.024
metaresearch head score (Gemma)0.020
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.040
Threshold uncertainty score0.125

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0240.020
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0090.020
Scholarly communication0.0140.009
Open science0.0030.008
Research integrity0.0190.021
Insufficient payload (model declined to judge)0.0060.002

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 head0.016
GPT teacher head0.347
Teacher spread0.331 · 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 designNot applicable
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

Citations1
Published2000
Admission routes1
Has abstractyes

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