Offshoring & leaking: Cristiano Ronaldo’s tax evasion, and celebrity in neoliberal times
Bibliographic record
Abstract
This article examines how the news media framed the allegations made in 2016 against Cristiano Ronaldo for evading taxes through offshores, and how audiences discussed this online, in Portugal, where he is originally from, and Spain, where he played football at the time. These countries were amidst an “austerity culture” justifying welfare cuts, promoting entrepreneurialism as “success”, and presenting neoliberal policies as “common sense”. Our analysis reveals Ronaldo portrayed as a member of the economic elite criticized for the high earnings of football players and celebrity tax privileges; as an ungrateful immigrant who does not contribute enough to society; and as “one like us” maneuvering to evade taxes. The comparative analysis shows audiences had double standards based on their feelings toward the celebrity, and they interpreted this case positively or negatively in relation to the inefficiency of the fiscal and justice systems in Southern Europe.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".