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Record W4327653357 · doi:10.7202/1097344ar

That Our Children So May Grow : Imagining Legal Agency for Children

2023· article· en· W4327653357 on OpenAlexaffvenue
Shauna Van Praagh, Jean‐Frédéric Ménard, Efat Elsherif, Natalia Koper

Bibliographic record

VenueLes Cahiers de droit · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicChildren's Rights and Participation
Canadian institutionsUniversité de SherbrookeMcGill University
Fundersnot available
KeywordsSituatedAgency (philosophy)Legal pluralismContext (archaeology)SociologyWork (physics)Childhood studiesInternational lawPluralism (philosophy)Political scienceLawPublic relationsPsychologyLegal researchDevelopmental psychologyEpistemologySocial scienceGeographyLegal realismEngineering

Abstract

fetched live from OpenAlex

The authors invite innovative engagement with the notion and exercise of children’s agency through work situated within the context of the Children’s International Summer Villages camp and theoretically grounded in both childhood studies and critical legal pluralism. By exploring campers’ participation in activities infused with law-related issues, the paper suggests that children can be understood as creators of law and thus as significant legal agents.

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)0.007
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0130.049
Scholarly communication0.0120.013
Open science0.0020.011
Research integrity0.0040.008
Insufficient payload (model declined to judge)0.0040.001

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 head0.022
GPT teacher head0.300
Teacher spread0.278 · 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 designTheoretical or conceptual
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

Citations0
Published2023
Admission routes2
Has abstractyes

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