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Enregistrement W18192162 · doi:10.1188/08.onf.131-135

Competitive Balance in Major League Baseball

2000· article· en· W18192162 sur OpenAlexvenueno aff
Keith Sherony, Michael Haupert, Glenn J. Knowles

Notice bibliographique

RevueNine · 2000
Typearticle
Langueen
DomaineArts and Humanities
ThématiqueAmerican Sports and Literature
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésRevenueLeagueBalance (ability)Revenue sharingPleaSalaryEconomicsBusinessPolitical scienceMarket economyFinanceLaw

Résumé

récupéré en direct d'OpenAlex

Back to the Future The more things change, the more they remain the same. In 1911 Major League Baseball (MLB) owners sold the motion picture rights to the World Series for $3,500. When the players demanded a cut of the proceeds, the owners canceled the deal instead. In 1994 the owners canceled the World Series rather than give in to the players' refusal to accept a salary cap. In 1888 and 1889 New York won back-to-back World Series trophies. In 1998 and 1999 New York won back-to-back World Series trophies. In 1879 the owners implemented a reserve clause, arguing that it was necessary to maintain competitive balance in the league. In 2000 the twenty-first century began with an owners' meeting at which the commissioner was directed to restore competitive balance to the sport. What sparked the owners' recent plea for competitive balance was the change in the economics of MLB that occurred in the 1990s. For some MLB teams the decade was marked by a growth in revenue sources resulting from new stadium construction or an explosion in the value of local media contracts. Since the revenues generated by these sources were not distributed evenly among the leagues' teams, the revenue gap increased markedly (see table 1). In 1990 the Yankees led all MLB teams with total revenues of $98 million, $64 million more than the Mariners who were at the bottom of the league in revenues. By 1999 the Braves led MLB with total revenues of $169.5 million, a staggering $121 million more than Montreal's league low. The growth in the revenue gap translated into a growth in the payroll gap, which increased from $15 to $70 million dollars over the decade. The most significant revenue growth came in the form of venue income (included in Other Revenues in table 1). Since 1989 eleven new stadiums have opened, and two other stadiums have received substantial face-lifts. These stadiums have luxury box suites, seat licenses, naming rights, signage, and other amenities that provide their teams with significant new revenue sources. Also, the new stadiums have facilitated an increase in ticket prices and served as an attraction in themselves, leading to significant increases in gate receipts for their tenants. Local television and radio income (Local Media Revenue, table 1) provided a secondary source of revenue growth. While the Yankees' record-setting cable contract grew only slightly over the decade, the average local media haul increased by nearly 50 percent. This is significant in light of the fact that the MLB low in local media revenue increased by barely $1 million over the decade. For some teams the increase in local media income more than doubled overnight and tripled over the decade. The disparity in revenues became the centerpiece of the economics of baseball in the 1990s. It is now used to sort teams into categories: or large market vs. small market. [1] The revenue gap is considered to be a major problem because of its perceived impact on the competitive balance among teams on the field. One theory is that when there are few barriers to player mobility high revenue teams buy all of the best talent. These teams win the most games, attract more fans, command higher local media fees, and extract ever better stadium lease agreements from their host cities. In contrast, low revenue teams can only afford to sign lower quality players and must rely on unproven talent developed in the Minor Leagues. These teams have losing seasons, do not make the playoffs, and have steadily lost attendance. They have little leverage with which to negotiate media deals or increase ticket revenues. As they lose money they have even less to spend on talent. With their hold on the best players, the hi gh revenue teams prevail on the field, winning more games, pennants, and championships. In time the competitive balance of the league will deteriorate as the high revenue teams dominate play. At least that's how it's presumed it will happen. …

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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
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 enseignants0,109
Score d'incertitude au seuil0,217

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0040,001
Communication savante0,0030,001
Science ouverte0,0010,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0250,002

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 Opus0,007
Tête enseignante GPT0,197
Écart entre enseignants0,190 · 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 source (Gemma direct ou Codex distillé), 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

Citations13
Publié2000
Routes d'admission1
Résumé présentoui

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