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Record W4385953186 · doi:10.1017/s1816383123000292

It's all relative: The origins, legal character and normative content of the humanitarian principles

2023· article· en· W4385953186 on OpenAlexaff
Marina Sharpe

Bibliographic record

VenueInternational Review of the Red Cross · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical and Contemporary Political Dynamics
Canadian institutionsRoyal Military College Saint-JeanUniversité de Sherbrooke
Fundersnot available
KeywordsNormativeImpartialityInternational humanitarian lawCharacter (mathematics)Content (measure theory)Political scienceIndependence (probability theory)NeutralityLawEpistemologyHumanitySociologyLaw and economicsInternational lawPhilosophy

Abstract

fetched live from OpenAlex

Abstract Analyses of the humanitarian principles of humanity, neutrality, impartiality and independence often focus on the principles’ meanings and/or the challenges of applying them in practice. This article, by contrast, steps back to address foundational but somewhat neglected questions about whether these principles can accurately be designated “the” humanitarian principles; about how they came to govern the whole humanitarian sector; about their legal character and normative content; and, more fundamentally, about whether the principles can even have objective character and content. It begins by defining “humanitarian principles” and determining whether and on what basis certain principles constitute “the” humanitarian principles. The article then traces the history of how the principles came to govern the International Red Cross and Red Crescent Movement and diffused from there to non-governmental organizations and the United Nations system. It then analyzes the principles’ legal character and normative content for each of the above-mentioned categories of actor plus States, demonstrating that the principles do not – and, legally, cannot – have fixed legal character and normative content. While humanitarian actors share common understandings of the principles, legally the character and content of each principle flows from its source for the actor in question.

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: none
Teacher disagreement score0.989
Threshold uncertainty score0.208

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.092
GPT teacher head0.306
Teacher spread0.214 · 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

Citations4
Published2023
Admission routes1
Has abstractyes

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