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Record W4408810610 · doi:10.1007/978-3-031-71594-5_8

Education, Leisure, and Cultural Activities Rights

2025· book-chapter· en· W4408810610 on OpenAlexaff
Ziba Vaghri, Roberta Ruggiero, Gerison Lansdown, Adem Arkadas-Thibert, Christian Whalen

Bibliographic record

VenueChildren's well-being · 2025
Typebook-chapter
Languageen
FieldSocial Sciences
TopicLegal Rights and Human Rights
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsSociologyPolitical science

Abstract

fetched live from OpenAlex

Abstract This cluster of articles, relating to education, leisure, and culture, affirm not only the right of every child to learn and play in a safe and stimulating environment, respectful of their own culture and language, but also insist on the importance of respecting the child’s agency and contribution to their own development.Article 28, the right to education, builds on earlier provisions in the International Covenant on Economic, Social and Cultural Rights, and sets out in detail the right to access education. It emphasises that primary education should be both free and compulsory for every child, that secondary education made available to every child, and that higher education should be available according to capacity. Education must be provided on the basis of equality of opportunity at all levels, all forms of school discipline must be administered in a manner consistent with the child’s dignity, be provided with equality, and states must make efforts to address school drop-out.

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)0.000
metaresearch head score (Gemma)0.001
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: Other · Consensus signal: Other
Teacher disagreement score0.026
Threshold uncertainty score0.086

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.005
Scholarly communication0.0040.002
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0260.004

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 head0.007
GPT teacher head0.255
Teacher spread0.248 · 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
GenreOther

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

Citations0
Published2025
Admission routes1
Has abstractyes

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