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Record W2913177218

Consecuencias fiscales para futbolistas y clubes por la posible celebración de partidos de la Liga de Fútbol Profesional en Estados Unidos

2018· article· es· W2913177218 on OpenAlexaboutno aff
Luis Toribio Bernárdez

Bibliographic record

VenueRevista Aranzadi de derecho de deporte y entretenimiento · 2018
Typearticle
Languagees
FieldEnvironmental Science
TopicFinance, Taxation, and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesLeagueFootballPhilosophyLaw
DOInot available

Abstract

fetched live from OpenAlex

espanolRecientemente la Liga de Futbol Profesional ha hecho publico el acuerdo alcanzado con una multinacional norteamericana para promover el futbol espanol en Estados Unidos y Canada. Entre las acciones que se pretenden llevar a cabo, la mas destacable, por ser absolutamente novedosa, es la de celebrar partidos oficiales de la competicion liguera en territorio estadounidense. Aunque por ahora, dada la negativa de la Real Federacion Espanola de Futbol, es dificil prever si finalmente el acuerdo sera llevado a la practica, creemos que es oportuno analizar las consecuencias fiscales que acarrearian los partidos en Estados Unidos. Asi pues, en el presente trabajo exponemos las obligaciones tributarias que tanto futbolistas como clubes tendrian que atender en Espana y en Estados Unidos si la Liga de Futbol Profesional terminara “desembarcando” en el continente americano. EnglishRecently the Spanish Professional Football League published the agreement reached with a North American multinational to promote Spanish football in United States and Canada. Among the planned actions the most remarkable, being absolutely novel, is to hold official matches of the League in the United States. Although for now, given the refusal of the Royal Spanish Football Federation, it is difficult to predict if finally the agreement will be put into practice, we believe that It is appropiate to analyze the tax consequences that matches in the United States would involve. Thus, in this paper we expose the tax obligations that both of players and teams would have to fulfill in Spain and the United States if the Professional Football League ended up disembarking in the American continent.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.162
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.275
Teacher spread0.267 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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