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Record W4411969101 · doi:10.1186/s13102-025-01206-2

Ugandan athletes’ and coaches’ experiences and perceptions on the effectiveness and legitimacy of the doping control process

2025· article· en· W4411969101 on OpenAlexfundno aff
Haruna Muwonge, Samuel Kiwanuka Lubega, Robert Zavuga, Roland S. Mukana, Hassan Kasujja, Godfrey Katamba, Nana Jacqueline Nakiddu, Mudarshiru Bbuye, Timothy Makubuya

Bibliographic record

VenueBMC Sports Science Medicine and Rehabilitation · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicDoping in Sports
Canadian institutionsnot available
FundersFogarty International CenterCentrum för idrottsforskningWorld Anti-Doping AgencyUniversity of Missouri
KeywordsAthletesLegitimacyPerceptionControl (management)Process (computing)PsychologyApplied psychologySocial psychologyPolitical sciencePhysical therapyMedicineComputer scienceLawArtificial intelligence

Abstract

fetched live from OpenAlex

BACKGROUND: Doping undermines competitive integrity and endangers athlete health, with performance-enhancing substances linked to severe adverse effects. While the World Anti-Doping Agency (WADA) provides standardized testing protocols, developing countries such as Uganda face significant enforcement challenges. This study aimed to explore Ugandan athletes' and coaches' experiences and perceptions of the doping control process, emphasizing its effectiveness and legitimacy. METHODS: A mixed-methods cross-sectional study was conducted, including a survey of 346 Ugandan athletes using a modified WADA questionnaire to evaluate perceptions on test accuracy, detection likelihood, and enforcement seriousness. Additionally, 196 coaches participated in 12 focus group discussions (FGDs) across four regions of Uganda to provide deeper insights. RESULTS: Athlete participants had a mean age of 24 years (± 6); 82% were male, and only 19% had ever been tested for doping. 56% believed doping tests were more likely during competitions compared to 39% for out-of-competition testing, with 55% confident they could evade detection. Approximately half considered anti-doping procedures fair and transparent. Only 17% felt that "NADO-Uganda" treated athletes equally, with 58% uncertain, indicating limited knowledge rather than a definitive view of unfairness. Coach participants, with a mean age of 32 years (± 14), reinforced the quantitative findings, emphasizing infrequent doping tests and persistent concerns about procedural transparency and fairness, which undermined trust and perceived legitimacy. CONCLUSION: There are significant gaps in doping control in Uganda, where infrequent testing and ambivalence regarding enforcement transparency diminish anti-doping measures. Strengthening Uganda's anti-doping framework requires increased testing frequency, culturally tailored education to bridge knowledge gaps, and enhanced procedural transparency and consistency. These measures are essential to establish a credible anti-doping system that supports clean sport values despite resource constraints.

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)0.004
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.004
Scholarly communication0.0040.001
Open science0.0010.003
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 head0.013
GPT teacher head0.333
Teacher spread0.320 · 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 designQualitative
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
Published2025
Admission routes1
Has abstractyes

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