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Record W2118057349 · doi:10.7202/703314ar

La médiation des petits États : rétrospective et perspective (Note)

2005· article· en· W2118057349 on OpenAlexvenueno aff
Boussetta Allouche

Bibliographic record

VenueÉtudes internationales · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicPeacebuilding and International Security
Canadian institutionsnot available
Fundersnot available
KeywordsMediationNegotiationState (computer science)Political scienceNormativeSettlement (finance)Perspective (graphical)Law and economicsSociologyLawEconomics

Abstract

fetched live from OpenAlex

Propped by Norway's diplomatic breakthrough in getting Israel and the PLO to forego their protracted state of war and negotiate their way toward a peaceful coexistence, this study focuses on small state mediation. It is an intellectual endeavor to shed light on a small state intervening as a third party mediator in some conflict-ridden international disputes. Because of the normative and legalistic approach that has dominated the study of international relations for quite some time, it is not surprising that the process of mediation can be difficult to grasp or, at least, subject to misunderstanding. Highlighting the small state mediation paradigm, the essay sets out Us background and offers an interpretative analysis of Us value. It addresses a number of questions pertaining to this avenue for international conflict management. For instance, where does international mediation fit within the larger spectrum of international peace mechanisms ? What are the distinguishing features of a small state's style of intervention, and how does a small state mediation differ from other mediatory schemes such as those intiated by other actors ? Most importantly, where does a small state's wherewithal to bring about a peaceful settlement of an international dispute stem from ? These and other questions are carefully probed in an attempt to grasp the dynamic of small state mediation.

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)0.001
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 score0.920
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.379
Teacher spread0.352 · 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

Citations3
Published2005
Admission routes1
Has abstractyes

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