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Record W3127524508 · doi:10.26443/firr.v9i2.16

Too Little, Too Late: The Constraining Effect of Traditional Peacekeeping Norms On the UN Protection Forces and its Consequences

2019· article· en· W3127524508 on OpenAlexvenueno aff
Avery Franken

Bibliographic record

VenueFlux International Relations Review · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicPeacebuilding and International Security
Canadian institutionsnot available
Fundersnot available
KeywordsBosnianPeacekeepingMandateImpartialityPolitical scienceNorm (philosophy)LawNormativeDevelopment economicsPolitical economyPublic administrationSociologyEconomicsPhilosophy

Abstract

fetched live from OpenAlex

During the Bosnian War (1992-1995), despite the efforts of the United Nations Protection Force (UNPROFOR), thousands of lives were lost in heinous attacks on Bosnian Muslims, perpetrated mostly by Bosnian Serbs. Using a constructivist approach, this paper investigates why the United Nations (UN) failed in their mandate to protect the Bosnian people. To do so, it examines the deeply entrenched norms that have traditionally guided UN peacekeeping – namely, impartiality and non-use of force. By tracing the key events that defined the UN’s involvement in this conflict in relation to existing theoretical models of norm emergence and evolution, the paper finds that the UN’s strict adherence to these principles significantly contributed to their failure to achieve their objectives. This is evidenced by the limited capacity of the UN peacekeepers during the conflict, the swift improvement of conditions following the replacement of UNPROFOR with the NATO-led Implementation Force, and the developments within the UN that ensued in the following years. The paper concludes with potential implications of these findings and suggestions for further research.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.940
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
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)0.0060.001

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 head0.046
GPT teacher head0.314
Teacher spread0.268 · 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.

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
Published2019
Admission routes1
Has abstractyes

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