Relationship between Iranꞌs National Football Team results and citizensꞌ happiness
Bibliographic record
Abstract
The influence of success and failure in international sporting competitions on the psycho-social life of citizens has been under-researched. This one-group pre-post-test design aimed to investigate the influence of the results of Iran’s national football team in the 2015 AFC Asian Cup on the happiness in Iranian citizens. The study was conducted in three stages: 1) before the start of the competitions; 2) after the qualifying rounds; and 3) after the team’s knockout loss in the quarter-finals. A sample of 320 respondents was drawn by means of the multistage sampling method from the citizens of Yasouj in Iran (age range=18 to 50 years). The Oxford Happiness Inventory (OHI) was used for collecting data. The results show that happiness significantly increased in the qualifying round, however, happiness plummeted after the team’s loss against Iraq in the quarter-finals. The present study concludes that the results of national football teams in international competitions can affect the happiness of citizens. Key words : Oxford Happiness Inventory; Football; AFC Asian Cup; Iran.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".