The Rise of E-Sports: The Transformation from Leisure Entertainment to a Global Sports Phenomenon
Bibliographic record
Abstract
This study investigates the role of cultural and economic factors in the development and perception of eSports, particularly examining how these elements influence its recognition as a legitimate sport and the redefinition of athleticism. A quantitative methodology was employed, involving a survey of 20 members from a gaming club in an educational institution. The survey revealed gender-based differences in the perception of eSports, notably in the economic impact, with female participants attributing greater significance to this aspect than their male counterparts. However, there was consensus across genders regarding eSports’ cultural significance and legitimacy as a sport. The findings indicate a predominant influence of cultural factors in shaping the perception of eSports, overshadowing economic aspects, a contrast to traditional sports where economic considerations often play a pivotal role. The study contributes to understanding the intricate dynamics within the eSports domain, providing insights for stakeholders in shaping policies and marketing strategies.
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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 | 0.001 | 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".