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The Social Cost of Baseball: Addressing the Effects 0f Major League Baseball Recruitment in Latin America and the Caribbean

2014· article· en· W424902448 sur OpenAlexaboutno aff
Emily B. Ottenson

Notice bibliographique

RevueOpen Scholarship Institutional Repository (Washington University in St. Louis) · 2014
Typearticle
Langueen
DomaineEconomics, Econometrics and Finance
ThématiqueSports Analytics and Performance
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésLeagueLatin AmericansPolitical scienceDevelopment economicsEconomicsLaw
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Latin American and Caribbean countries should be financially compensated for the loss of native baseball players to MLB teams. Players recruited from Latin America and the Caribbean should be afforded the same rights and privileges as U.S., Puerto Rican, and Canadian players, and MLB should not be permitted to recruit them without some acceptable level of restraint or oversight. This Note offers one possible solution to MLB’s recruitment problems while taking into account both the interests of the recruited players, as well as the effect MLB’s talent recruitment efforts have on Latin American and Caribbean countries. The solution this Note proposes is a Coase Theorem—based compensation system, in which MLB teams cooperate with Latin American and Caribbean countries to support the fair and responsible development of baseball players. Under this system, MLB teams will financially compensate these countries for the right to negotiate contracts with players and bring them into the Major League system. This system will in effect allow MLB teams to purchase a country’s interest in its player’s talent, so that a team can sign and develop the player as a major league prospect. Implementing and enforcing this compensation system will require the involvement of the governments of all participating countries or an international organization designed to oversee the process. It will encourage positive political relationships between the United States and Latin American and Caribbean countries by incentivizing governments to work with MLB teams in the development of young players. Because the supply and demand for talented baseball players is virtually unlimited, countries that are regularly financially compensated for the recruitment of their ballplayers will have a strong incentive to maintain positive relations with the United States. Part I of this Note will discuss how MLB teams currently recruit talent in Latin America and the Caribbean. It will also introduce the recruitment systems in other countries for comparison purposes. Part II will discuss current issues surrounding MLB teams’ recruitment in Latin America and the Caribbean. This includes discussion of the possibility of an international draft, difficulties with expanding the jurisdiction of the Major League Baseball Players Association (“MLBPA”) internationally, and the lack of a regulatory body to govern how MLB teams recruit in Latin America and the Caribbean. It will also discuss Japan’s system for regulating MLB teams’ recruitment of Japanese players for comparative purposes. Part III will propose a Coase Theorem-based approach to international player recruitment. This approach suggests the implementation of a compensation system, wherein countries are paid by MLB teams for the right to recruit talent as a remedy for the social cost of baseball. It will also propose a “public-private” partnership to regulate this system. Under a public-private system, MLB teams will negotiate directly with both Latin American and Caribbean countries and the players themselves in a process that will allow MLB teams to purchase the right to recruit the players they hope to bring to the United States. Part IV will discuss some of the problems, benefits, and complications that may result from a player-rental system. For example: general resistance to a change in the recruitment model, concerns with incentivizing countries to embrace the new system, concerns with enforcement of the system, MLB’s possible responses to the concept of player value, and the system’s possible effect on international political relations.

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)0,003
score de la tête « metaresearch » (Gemma)0,000
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: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,670
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0030,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0020,001
Communication savante0,0000,001
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 Opus0,068
Tête enseignante GPT0,272
Écart entre enseignants0,204 · 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'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

Citations3
Publié2014
Routes d'admission1
Résumé présentoui

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