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Record W2739085284 · doi:10.1080/09592318.2017.1322332

From Rebel to Quasi-State: Governance, Diplomacy and Legitimacy in the Midst of Afghanistan’s Wars (1979–2001)

2017· article· en· W2739085284 on OpenAlex
Romain Malejacq

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueSmall Wars and Insurgencies · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicPolitics and Conflicts in Afghanistan, Pakistan, and Middle East
Canadian institutionsnot available
FundersUniversiteit UtrechtUniversiteit LeidenInstitute of Infection and ImmunityEuropean CommissionPierre Elliott Trudeau Foundation
KeywordsLegitimacyAfghanDiplomacyState (computer science)Political scienceCorporate governancePolitical economyPopulationPublic administrationLawSociologyPoliticsManagementEconomics

Abstract

fetched live from OpenAlex

How do warlords build their legitimacy and eventually exert authority? The case of Afghan leader Ahmad Shah Massoud demonstrates that warlords do not only build legitimacy through the internal provision of goods and services to the population under their control, but also build their legitimacy by projecting authority externally, through the development of their own form of diplomacy. In this article, I show that warlords develop complex and complementary legitimisation strategies that extend beyond their territorial realms to include consequential relationships with foreign actors.

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.

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)0.000
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 score0.887
Threshold uncertainty score0.983

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.051
GPT teacher head0.328
Teacher spread0.277 · 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