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Record W7108069541 · doi:10.1080/0376835x.2025.2591947

The kingmaker’s dilemma: developing a conceptual framework for understanding coalition fragility in metropolitan governance

2025· article· en· W7108069541 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueDevelopment Southern Africa · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicPublic Policy and Administration Research
Canadian institutionsInstitute on Governance
Fundersnot available
KeywordsConceptual frameworkFragilityCorporate governanceMetropolitan areaThe Conceptual FrameworkDeveloping country

Abstract

fetched live from OpenAlex

The increasing incidence of fragmented electoral outcomes in metropolitan governments has elevated a recurring, under-theorised phenomenon: minority parties attaining kingmaker status in coalition arrangements. This paper introduces The Kingmaker’s Dilemma, a concept which captures the structural contradiction wherein a party with minimal electoral support acquires decisive influence over urban governance, often without assuming executive responsibility. Through a comparative case study methodology spanning Berlin, Nairobi, New York City, and Tshwane, the paper examines how these kingmakers obstruct or enable urban functionality from legislative positions, revealing patterns of power without accountability. The study also presents the Kingmaker Governance Matrix (KGM), a conceptual framework developed to guide future diagnostic and policy work in coalition cities. By embedding global insights within the realities of African metros, the paper argues that unresolved coalition dilemmas are fast becoming the principal source of instability in urban governance. It concludes with reform proposals to restore functionality and democratic legitimacy in city coalitions under pressure.

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)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
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 score0.940
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
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 head0.144
GPT teacher head0.397
Teacher spread0.253 · 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