Qatar 2022 World Cup: Designing a Context-Based Decision-Making Approach
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.
Bibliographic record
Abstract
The case presents a challenging decision that the new Fédération Internationale de Football Association (FIFA) President faced with the Qatar 2022 World Cup. Specifically, the issues surround the agreement that the President signed a year after his election with Qatar Airways and the allegations made against the 2022 World Cup host country, Qatar, for human rights violations and state-sponsored terrorism. Right after the allegation was made against Qatar, the President formed an advisory group to help prepare him to make a rational decision on the case. You have been appointed as the members of the advisory board that is tasked with investigating and making recommendations on the President’s challenge of keeping his campaign promises of restoring FIFA’s image and raising more money for the federation.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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 it