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Record W4360981837 · doi:10.1007/978-3-031-04480-9_6

‘Could It Be That They Do Not Want to Hear What We Have to Say?’ Organised Working Children and the International Politics and Representations of Child Labour

2023· book-chapter· en· W4360981837 on OpenAlexaff
Edward van Daalen

Bibliographic record

VenueStudies in childhood and youth · 2023
Typebook-chapter
Languageen
FieldSocial Sciences
TopicChildren's Rights and Participation
Canadian institutionsMcGill University
FundersSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungNational Science Foundation
KeywordsPoliticsInstitutionalisationChild labourStatus quoNarrativePolitical sciencePower (physics)Corporate governanceSociologyGender studiesPolitical economyLawEconomicsManagementWork (physics)

Abstract

fetched live from OpenAlex

Abstract This chapter is primarily concerned with exploring and problematising the representational strategies deployed in processes of global governance and advocacy related to child labour. It is observed that on the international level the broad category of ‘child labour’ is narrowly represented as a form of modern slavery by the International Labour Organisation (ILO) and influential NGOs such as the Global March Against Child labour. Actors that challenge such narratives, in particular working children’s movements, are excluded from exerting influence. To better understand how we arrived as this impasse and how we can move forward, the chapter aims to reconstruct, analyse and problematise the institutional and geo-political developments that have resulted in the current status quo, with a special focus on the efforts of organised working children to influence this process. Using the theoretical constructs of the ‘paradox of institutionalisation’, the ‘paradox of a children’s right to participation’ and the ‘problematic of representational power’ to analyse the chapter’s empirical reconstruction, it is concluded that the ILO is to reconsider its restrictive advocacy campaign in favour of identifying more nuanced and evidence-based programmes and policies on child labour.

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)0.000
Version: codex-gemma-dda1882f352aValidation 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: none
Teacher disagreement score0.573
Threshold uncertainty score0.668

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.091
GPT teacher head0.347
Teacher spread0.257 · 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 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

Citations3
Published2023
Admission routes1
Has abstractyes

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