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Enregistrement W6955284231 · doi:10.57912/23767425

Legal Challenges of Playing in Sports Bubble

2023· article· en· W6955284231 sur OpenAlexaboutno aff

Notice bibliographique

RevueAmerican University Research Archive · 2023
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueDoping in Sports
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésLeagueGovernment (linguistics)DutyTortCompetition (biology)Duty of care

Résumé

récupéré en direct d'OpenAlex

Isolated. Away from families. Physical Stress. Emotional Stress. Vying for a championship. That is how those who have been in bubbles in the NBA, NSWL, NHL have been living since early July. While there have been tons of challenges in terms of logistics and getting staff, media, and the teams down to hotels and competition daily while still taking public health into account, there have been tons of legal challenges as well. The legal challenge has been complying with government directives. Before diving into this further, it is important to note that the MLB (Major League Baseball) did not play its regular season in an isolated bubble. This made things complicated for one team: the Toronto Blue Jays. They are the only team to play in Canada, but unfortunately, the Canadian government did not allow them to play their home games there due to the risk of spreading the coronavirus, the government said. According to the Canadian government, “it would not be safe for the team and opposing Major League Baseball teams to travel back and forth between the U.S. and Canada (Ingles, 2020).” There have been some restrictions in Canada, but the MLB was not one of them. There are guidelines proposed by, “The Inter-Agency Task Force for the Management of Emerging Infectious Diseases (IATF), which show some of the public health factors in terms of how many people could gather in one location (Ingles, 2020). A second legal challenge to look at and consider is the duty to anticipate foreseeable dangers. Tort law, which focuses on a civil wrong that causes a claimant to suffer loss or harm, is brought into question front and center here because the bubble is designed to try to minimize risk and travel, but the government has a duty to protect and prevent dangers from happening and taking place. For example, in the Philippines there is a Family Code and under Article 218 of the code, “schools, its administrators, and teachers have special parental authority and responsibility over minor children.” However, this also applies on a broader scale to higher level corporations and companies. In the US, there is a slight difference as those who preside over and decide what they think is best for a public health standpoint for the players. Each governor in the states gets to make the rules and decides what events and the capacity that can take place in their town. A final legal challenge to look at is looking closely at the contracts and financial decisions being made and allowing for players to opt out. The NB, for example, allowed players to fully opt out for health reasons, injury concerns, or fear of contracting the virus and additional reasons. As one NBA Stakeholder put it, “Will players who opt out because of medical reasons still be entitled to salary, albeit at a decreased rate? Will those who decide to sit out because they simply “feel uncomfortable” get any salary at all? Will teams be allowed to field replacement players for those opt out? What willbe the deadline for opting out (Ingles, 2020)?” In terms of looking at how tort law could be applied to the bubbles, the courts generally decide suits involving injuries to athletes, spectators, and other parties involved in sports according to basic tort laws. In terms of specifics and how this relates to the bubble, while players and teams can not necessarily sue a governor or a town if they get COVID, liability is still a factor to monitor (Sports Law, 2020). It is a reason why schools across the country have been hesitant to open even if they do it in a safe way. They don’t want to be held liable or face negligence charges if in fact someone gets COVID, spreads it, and there are fatalities associated with the situation. While the bubble has completed and there were zero positive tests in the NBA, NSWL, and NHL bubbles, there were clear legal, economic, and health hurdles that had to be figured out and thoroughly looked at.

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)0,002
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,302
Score d'incertitude au seuil0,993

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,002
Études des sciences et des technologies0,0000,002
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
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 Opus0,062
Tête enseignante GPT0,358
Écart entre enseignants0,296 · 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.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
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

Citations0
Publié2023
Routes d'admission1
Résumé présentoui

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