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Record W2954069757 · doi:10.1177/2043610619860995

The relevance of ‘competence’ for enhancing or limiting children’s participation: Unpicking conceptual confusion

2019· article· en· W2954069757 on OpenAlexfundno aff
Jo Moran‐Ellis, E. Kay M. Tisdall

Bibliographic record

VenueGlobal Studies of Childhood · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicChildren's Rights and Participation
Canadian institutionsnot available
FundersEconomic and Social Research CouncilSocial Sciences and Humanities Research Council of CanadaUniversity of EdinburghRoyal Society of EdinburghEuropean Research CouncilBritish AcademyLeverhulme Trust
KeywordsCompetence (human resources)CLARITYLimitingConvention on the Rights of the ChildPsychologyConfusionConventionDevelopmental psychologySocial psychologySociologyHuman rightsSocial sciencePolitical scienceLaw

Abstract

fetched live from OpenAlex

Recent debates about children’s participation rights, formulated in the UN Convention on the Rights of the Child, primarily focus on ‘effectiveness’ of implementation. However, children’s participation remains problematic, its limited impact on adult power in decision-making or on the nature of decisions made persists, and implicated in both are reservations about children’s competence as participants. In respect of this, we analysed conceptualisations of competence in 67 articles, published between 2007 and 2017 in six childhood studies journals, in which ‘competence’ and its variations appear in the abstract. Although competence was rarely defined, conceptualisations were wide-ranging, covering competence as skills, as compliance with adult views, and as a trope signalling the field of childhood studies. As a result of our findings, we argue that epistemological clarity is vital for this concept to be useful regarding children’s participation and that attention must be paid to the different kinds of competences relevant for ‘effective’ participation.

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 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)0.001
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 score0.582
Threshold uncertainty score0.671

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.041
GPT teacher head0.351
Teacher spread0.310 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations43
Published2019
Admission routes1
Has abstractyes

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