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Record W2994655290 · doi:10.1163/17087384-12340043

An Examination of the Legislative Limitations of Artistic Freedom of Expression in Uganda

2019· article· en· W2994655290 on OpenAlexvenueno aff
Ronald Kakungulu-Mayambala, Solomon Rukundo, Victor Philip Makmot

Bibliographic record

VenueAfrican Journal of Legal Studies · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Law and Human Rights
Canadian institutionsnot available
Fundersnot available
KeywordsConstitutionExpression (computer science)LegislationLawFreedom of expressionFreedom of thoughtLegislatureSociologyHuman rightsPolitical scienceAestheticsArtComputer science

Abstract

fetched live from OpenAlex

Abstract Artistic freedom of expression is guaranteed under the 1995 Constitution of the Republic of Uganda and other international instruments. This paper examines its application in all forms of art including paintings, music, poetry, novels, and plays. The paper examines the different legislation used in the restriction of artistic freedom of expression. It argues that these restrictions are contrary to the guarantees of freedom of expression provided in the Constitution and in various regional and international instruments. Part I of this paper gives a historical background to artistic freedom of expression noting how it has been suppressed since colonial times. Part II examines international protection of artistic freedom of expression while Part III analyses the protection of artistic freedom of expression in Uganda as guaranteed by the Constitution. Part IV analyses the legislation limiting artistic freedom of expression and highlights how these are incompatible with international and local human rights standards. Part V puts forward the case for artistic freedom of expression. Finally, Part VI provides the conclusion.

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)0.030
metaresearch head score (Gemma)0.049
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.030
Threshold uncertainty score0.156

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0300.049
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.004
Science and technology studies0.0110.016
Scholarly communication0.0130.006
Open science0.0020.009
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0040.000

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 head0.056
GPT teacher head0.322
Teacher spread0.266 · 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 designNot applicable
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

Citations2
Published2019
Admission routes1
Has abstractyes

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