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Record W1896746498 · doi:10.32396/usurj.v1i2.72

Conceptualizing the ‘Failed State’: The Construction of the Failed State Discourse

2015· article· en· W1896746498 on OpenAlexaffvenue
Beth Thiessen

Bibliographic record

VenueUSURJ University of Saskatchewan Undergraduate Research Journal · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicPeacebuilding and International Security
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsNarrativeState (computer science)Norm (philosophy)RealmContext (archaeology)Political scienceLegitimacyAmbiguityReductionismSociologyEpistemologyPositive economicsLaw and economicsPoliticsPolitical economyLawEconomicsComputer scienceHistory

Abstract

fetched live from OpenAlex

The concept of the ‘failed state’ emerged in the 1990s to describe and explain why states residing outside the Western world do not function as advanced states. The failed state narrative has inherent conceptual limitations and is based on flawed assumptions that obscure its utility. These so-­‐called failed states are held against a Western-­‐centric norm and a universalized spectrum of state development. The concept is now widely used in the context of global security, peacekeeping, poverty reduction, humanitarian assistance and good governance. The application of the narrative within the realm of policy means Western actors use the concept to promote their own security and development interests. This translates into an inability to formulate effective policy responses to society-­‐wide challenges. This essay examines the failed state narrative by exploring how the state is theorized in the context of failed states, and how the narrative is plagued with neocolonial underpinnings, definitional ambiguity, western centrism and analytical reductionism.

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)0.013
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.018
Threshold uncertainty score0.107

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.012
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.005
Science and technology studies0.0140.110
Scholarly communication0.0180.022
Open science0.0030.011
Research integrity0.0050.008
Insufficient payload (model declined to judge)0.0030.000

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 head0.063
GPT teacher head0.345
Teacher spread0.282 · 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 designQualitative
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
Published2015
Admission routes2
Has abstractyes

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Same venueUSURJ University of Saskatchewan Undergraduate Research JournalSame topicPeacebuilding and International SecurityFrench-language works237,207