Results 221 to 230 of about 985,059 (294)

Doing Age and Aged Doings in 10–12‐Year‐Olds' Descriptions of Their Leisure Opportunities

open access: yesChildren &Society, EarlyView.
ABSTRACT The aim of this study is to contribute knowledge about how children aged 10 to 12 describe their leisure time, and how their accounts of what they do, what they want to do, and what they perceive as available to them can be understood in relation to age as a social category.
Lina Lago, Sanna Hedrén
wiley   +1 more source

Increased plantar force and impulse in American football players with high arch compared to normal arch

open access: green, 2012
Daniel W. Carson   +4 more
openalex   +1 more source

Cristiano of Arabia: Did Ronaldo increase Saudi Pro League attendances?

open access: yesContemporary Economic Policy, Volume 43, Issue 2, Page 260-270, April 2025.
Abstract In December 2022, Cristiano Ronaldo, five‐time Ballon d’Or winner and the most‐followed person on Instagram, signed for Al‐Nassr in the Kingdom of Saudi Arabia. This marked one of several expensive, recent interventions by the kingdom in global sports markets. We exploit the timing of this event to estimate superstar effects.
Dominik Schreyer, Carl Singleton
wiley   +1 more source

Barriers and Facilitators in the Junior-to-Senior Transition in Male Football-A Scoping Review. [PDF]

open access: yesSports (Basel)
Tomás J   +6 more
europepmc   +1 more source

Should more teams “trust the process” of tanking?

open access: yesContemporary Economic Policy, EarlyView.
Abstract In many professional sport leagues, the worst‐performing teams receive higher probability of earning top draft picks. This provides teams incentives to purposefully lose, or “tank,” if they are not likely to contend for the playoffs or championships.
Eduardo G. Minuci   +2 more
wiley   +1 more source

From bias to bliss: Racial preferences and worker productivity in tennis

open access: yesContemporary Economic Policy, EarlyView.
Abstract We investigate the impact of differences in consumers' racial preferences on worker productivity through the example of the home advantage (HA) effect using data on wins in men's tennis from 2001 to 2020 (pre‐COVID‐19). We identify players' racial affiliation as one of five distinct groups by combining clustering and facial recognition methods.
Carsten Creutzburg   +2 more
wiley   +1 more source

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