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Enregistrement W4312192586 · doi:10.1080/11745398.2022.2156363

Is the medium the message? Exploring the intersection of social media and collective action in the San José Bike Party

2022· article· en· W4312192586 sur OpenAlexaffabout
Jay Johnson, Matthew A. Masucci, Jessica W. Chin, Mary Anne Signer Kroeker

Notice bibliographique

RevueAnnals of Leisure Research · 2022
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueSocial Media and Politics
Établissements canadiensUniversity of Manitoba
Organismes subventionnairesnon disponible
Mots-clésCollective actionPoliticsSocial mediaTheme (computing)Public relationsSociologyAction (physics)Media studiesSocial movementPolitical scienceLaw

Résumé

récupéré en direct d'OpenAlex

ABSTRACTThe San José Bike Party (SJBP) is a diverse collective of cyclists gathering for monthly group rides around the urban centre of San José, California. By leveraging social networking platforms, the SJBP announces a route and theme just prior to the ride each month. We argue that organizing, producing, and participating in these rides constitute a political act which can help to promote civic engagement and collective action. Further, we explored the way in which collective action can be fostered via social media. Through analysis of semi-structured individual interviews, focus-group interviews, moving methodologies and field observations derived from researcher participation in SJBP events, we articulate the complexities of contested and negotiated meanings of the use of technology, social media and activism assigned to the event by participants, yielding these themes: Critical Analysis of Social Media's Influence, Political Expressions in the SJBP and Prefigurative Politics in the SJBP.KEYWORDS: Collective actionsocial mediabicycle activismqualitative research Disclosure statementNo potential conflict of interest was reported by the author(s).Notes1 The COVID-19 pandemic has directly impacted many of our physical and social interactions and has severely disrupted our physical cultures. With that proviso, it is important to mention that this interactive and continuing research took place prior to the pandemic which struck the world over a year ago and led to governments shutting down many public events like the San José Bike Party (SJBP). While the SJBP (and other Bike Parties) have worked diligently over the past year to provide various experiences involving riders and bicycles, including solo scavenger hunts, 'endless' rides that encourage riders to join at any point and in any direction or a suggested route, and the first ride back was the Orange Mask Ride, announced on (5/16/2021) a return to the format of rides that are reflected here in the data, narratives and experiences of those, including ourselves, who took part in these Bike Parties pre COVID-19.Additional informationNotes on contributorsJay JohnsonDr. Jay Johnson is a full professor in the Faculty of Kinesiology and Recreation Management at the University of Manitoba. His current multiple mixed qualitative methodological interdisciplinary research explores the impact(s) of climatic change on our physical experiences and the interfaces with the environment and climate change. He is investigating how Indigenous and non-Indigenous youth experience outdoor adventure/land-based education; community-based research examining the function of the bicycle, culture and community in activ(ism); bullying; sport doping; the use of marijuana and CBD by professional athletes; the Ultimate Fighting Championship (UFC) and the pandemic and health; and the cultural intersections of gender, masculinity, race, ethnicity, sexuality and homophobia in team hazing/initiation rituals. He has published extensively on hazing, co-editing Making the Team: Inside the World of Sport Initiations and Hazing with Dr. Margery Holman.Matthew MasucciDr. Matthew Masucci is Professor in the Department of Kinesiology and currently serves as the Associate Dean in the College of Health and Human Sciences at San José State University. His research is interdisciplinary and interrogates sport and physical activity through the lenses of cultural studies, philosophy, and critical sport studies. Current research projects include; a critical, historical, and political analysis of Mixed Martial Arts (MMA) and the Ultimate Fighting Championship (UFC), discourse surrounding the use of marijuana and CBD by professional athletes, and a multi-dimensional investigation of a local social movement called the San José Bike Party.Jessica ChinDr. Jessica Chin is professor in the Department of Kinesiology at San José State University. She is a physical cultural studies scholar whose interdisciplinary research centers on the ways socio-cultural, political, and historical contexts intersect with participation experiences and the construction of identity through sport and physical activity. She critically investigates questions of gender and racial ideology, power, and representation in physical culture, focusing in particular on the meanings and experiences of Bike Party movements, sport hazing and initiation rituals, sport in communist and post-communist settings, and Asian American sport participation.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,009
score de la tête « metaresearch » (Gemma)0,002
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesÉtudes des sciences et des technologies
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: Qualitatif
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,101
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0090,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0020,001
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,513
Tête enseignante GPT0,503
Écart entre enseignants0,010 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeQualitatif
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2022
Routes d'admission2
Résumé présentoui

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