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Record W4405453143 · doi:10.1080/02255189.2024.2430989

Who bears the tax burden? The withholding tax policy and persistent informality in artisanal small-scale mining in Ghana

2024· article· en· W4405453143 on OpenAlexvenueno aff
Benjamin Kwao

Bibliographic record

VenueCanadian Journal of Development Studies/Revue canadienne d études du développement · 2024
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsnot available
FundersTrinity College Dublin
KeywordsTax revenueLivelihoodRevenueBusinessTax policyState (computer science)AccountabilityPublic economicsScale (ratio)Tax reformWithholding taxSocial securityEconomic policyEconomicsInternational taxationFinanceMarket economyPolitical scienceAgriculture

Abstract

fetched live from OpenAlex

This article examines the withholding tax policy and the challenges of taxing ASM activities in Ghana. Based on qualitative interviews with operators and stakeholders, the article reveals that the mobile and uncertain nature of operations makes it difficult for state institutions to govern and generate domestic revenue from the sector. Assessment of the withholding tax policy reveals how taxation without ‘actual’ formalization indirectly legitimizes illegal activities. Formalization efforts must prioritize the livelihood security of operators over revenue generation concerns. State accountability and a working social contract are critical to domestic revenue mobilization in developing countries.

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)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.033
Threshold uncertainty score0.065

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0040.009
Scholarly communication0.0020.002
Open science0.0000.002
Research integrity0.0010.001
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 head0.031
GPT teacher head0.216
Teacher spread0.185 · 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 designObservational
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
Published2024
Admission routes1
Has abstractyes

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