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Record W1926992579 · doi:10.1093/afraf/adv022

The political economy of property tax in Africa: Explaining reform outcomes in Sierra Leone

2015· article· en· W1926992579 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

VenueAfrican Affairs · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicLocal Government Finance and Decentralization
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsProperty taxSierra leoneTax reformDecentralizationPoliticsOpposition (politics)Political economyEliteIncentiveTax avoidancePolitical scienceCorporate governanceEconomicsEconomic policyDevelopment economicsMarket economyFinance

Abstract

fetched live from OpenAlex

Effective local government taxation is critical to achieving the governance benefits widely attributed to decentralization, but in practice successful tax reform has been rare because of entrenched political resistance. This article offers new insights into the political dynamics of property tax reform through a case study of Sierra Leone, focusing on variation in experiences and outcomes across the country's four largest city councils. Based on this evidence, the article argues that elite resistance has posed a particularly acute barrier to local government tax reform, but that ethnic diversity has sometimes served to strengthen reform by fragmenting elite resistance. Furthermore, opposition councils have had stronger incentives to strengthen tax collection than councils dominated by the ruling party, in order to increase their fiscal autonomy. More generally, heightened electoral competition can lead to sustained revenue gains by encouraging city councils to adopt a more contractual approach to tax reform that stresses transparency, engagement, and equity.

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: none
Teacher disagreement score0.975
Threshold uncertainty score0.785

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 studies0.0000.000
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 head0.042
GPT teacher head0.279
Teacher spread0.237 · 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