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Record W2883619352 · doi:10.3390/socsci8020044

Child-Led Research: Questioning Knowledge

2019· article· en· W2883619352 on OpenAlexfundno aff
Patricio Cuevas‐Parra

Bibliographic record

VenueSocial Sciences · 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 EdinburghBritish AcademyRoyal SocietyLeverhulme Trust
KeywordsPolitical science

Abstract

fetched live from OpenAlex

Over the last twenty years, childhood studies has challenged the schooled and developmental models of childhood. The children’s rights agenda has combined with academic childhood studies, to emphasise that children are and can be social actors and to seek ways to recognise and support their participation rights. For those who promote the participation of children and young people, there is considerable enthusiasm to involve them in all research stages—from research planning, fieldwork, and analysis to dissemination, leading to growth in what is often called ‘child-led research’. This article draws upon an empirical study of ‘child-led research’ projects, undertaken in Bangladesh, Jordan and Lebanon, for a critical examination of the meanings and implications of ‘child-led research’. In particular, this paper explores what counts as knowledge in social science research within contexts of generational difference and power.

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)0.125
metaresearch head score (Gemma)0.125
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.989
Threshold uncertainty score0.659

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1250.125
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0080.008
Science and technology studies0.0110.177
Scholarly communication0.0290.051
Open science0.0050.022
Research integrity0.0090.011
Insufficient payload (model declined to judge)0.0050.001

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 head0.182
GPT teacher head0.485
Teacher spread0.302 · 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.

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".

Quick stats

Citations1
Published2019
Admission routes1
Has abstractyes

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