The Argonauts of esports Practice: Zooming in on the practice-networks of everyday gamers
Notice bibliographique
Résumé
Should people be concerned about everyday gamers’ participation in esports practices? This dissertation will address the question by exploring how everyday gamers’ practices are informed by professional gaming (esports). The rise of professional competitive video gaming has exploded in the past two decades. Billions of dollars of prize money have been awarded to thousands of people around the globe since the turn of the century. While a valorized few players have been able to professionalize their gaming, millions of everyday gamers spend countless hours participating in these same practices with no hope of ever being professionals. Who benefits from the perpetuation of the instrumental in-game practices? Who shapes the practices of groups attempting to organize their esports gaming? How do the affordances of nonhuman actors shape the practices of everyday gamers participating in esports gaming? Can the creation of esports media really empower everyday gamers? Using a micro-ethnographic approach this project will trace practice-networks of a student gaming club at the University of Calgary. The approach draws from the theoretical perspectives of practice theory and actor-network theory. Assessing whether the practices elucidated through this framework should be of concern will be accomplished primarily through the concept of participatory culture. Many scholars have weighed in on the value of participatory culture in contemporary society and those positions will be used in the evaluation of the practice-networks of the gaming group. Through this perspective the study will zoom in on the in-game practices of everyday gamers. Through a series of interviews, event observations and time spent in the game I will examine what resources esports practices require and what benefits players receive for their execution. Through engaging with the concept of gamer capital, and expanding it, I will trace the different pressures placed on everyday gamers in relation to in-game practices. I will then zoom out to examine two of the actants, the Students’ Union and Riot Games, which shaped the organization of the student club. The esports game explored in this study forces everyday gamers to seek out others to form teams to play the game. In their efforts to organize their gaming on campus two main actants exerted influence over the organization of the group. I will trace how this influence was exercise. The group drew on various nonhuman actors, from social media to university lecture halls, in their participation in esports practice. I will then zoom in on how the affordances of these actors shaped the practice of the club. Finally, I will explore a competitive series produced by the group and streamed on YouTube, to assess whether this kind of participation is empowering everyday gamers.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».