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Record W4294712774 · doi:10.5539/jpl.v15n4p230

Protection of Children from Recruitment and Use in Armed Conflict: Role of International Legal Framework

2022· article· en· W4294712774 on OpenAlexvenueno aff
Siwnan Rasakandan, Pardis Moslemzadeh Tehrani

Bibliographic record

VenueJournal of Politics and Law · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Peace and Security Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsHumanityStatuteInternational humanitarian lawPolitical scienceLawProtocol (science)Armed conflictConvention on the Rights of the ChildInterpretation (philosophy)Age limitConventionInternational lawHuman rightsSociologyMedicineComputer scienceDemography

Abstract

fetched live from OpenAlex

One of the most worrying developments in recent times is the act of recruitment and use of children in armed conflicts. This article examines the law relating to this phenomenon. The relevant law is found in five different treaties: Additional Protocol I; Additional Protocol II; Convention on the Rights of Child (CRC), Optional Protocol to CRC (OPAC); and the Rome Statute. Analysis shows that Additional Protocols I and II, CRC and the Rome Statute protect children, fundamentally by prohibiting the recruitment and use of under 15 children in hostilities, meanwhile the OPAC has raised the recruitment age to 18 years for armed groups. Law also allows the recruitment of children between the ages of 15 to 18, if preference is given to the oldest. It can be reasoned that the under 15 age level allows for a balance between military necessity and humanity whereas the under 18 moves towards humanity. The under 15 age limit is also favorable to armed groups in wars for self-determination while the recruitment of under 18s is preferable from humanitarian perspective. Classifying recruitment as compulsory, voluntary, conscription and enlistment appears irrelevant in the face of new wars. Distinction between direct part and indirect part or active participation is also seen as irrelevant. Law is substantially well structured with potential to inhibit recruitment of children while providing for evolving interpretation. The lack of enforceability is the main concern that needs to be researched and energized.

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)0.000
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.637
Threshold uncertainty score0.980

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.028
GPT teacher head0.304
Teacher spread0.276 · 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 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

Citations5
Published2022
Admission routes1
Has abstractyes

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