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Record W4382400047 · doi:10.1017/s0022278x23000137

A tax by any other name? Conceptions of taxation and implications for research

2023· article· en· W4382400047 on OpenAlex
Ane Karoline Bak, Vanessa van den Boogaard

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

VenueThe Journal of Modern African Studies · 2023
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicTaxation and Compliance Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsEconomicsPositive economicsLaw and economicsPublic economics

Abstract

fetched live from OpenAlex

Abstract As taxation has become a prominent issue on the international development policy agenda, a growing body of research has focused on taxpayer perceptions and experiences of taxation. A strand of this research emphasises the importance of the historical, political and social context of taxation. We position ourselves in line with this research as we pay attention to the emic definitions of taxation in Africa across contexts, languages, and time periods. We explore how the conception of taxation in different contexts is closely interrelated with the language used to describe it, with language being a product of histories of colonialism, conflict, and extraction by social, traditional and political actors. We argue that studies of taxation, particularly survey-based research, need to be complemented, if not informed, by a deeper understanding of the diversity of tax landscapes and of the meanings ascribed to taxation in a given context. This will strengthen content and interpretive validity of taxpayer perception data as well as provide important nuances to the understanding of the dynamics of taxpayers’ experiences of contemporary states and systems of taxation.

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)0.001
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 score0.369
Threshold uncertainty score0.235

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.260
GPT teacher head0.387
Teacher spread0.126 · 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