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Record W1156599764

Equipos españoles en la International Soccer League

2011· article· es· W1156599764 on OpenAlexaboutno aff
Eduardo Muñoz Valdés

Bibliographic record

VenueCuadernos de Fútbol: Primera revista de historia del fútbol español · 2011
Typearticle
Languagees
FieldSocial Sciences
TopicSports and Physical Education Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesLeaguePolitical scienceArt
DOInot available

Abstract

fetched live from OpenAlex

De los varios intentos de introduccion del futbol en los Estados Unidos de America realizados a lo largo del siglo XX, puede que el mas serio fuese el llevado a cabo por William Cox en la decada de los sesenta. Este promotor americano procedente del mundo del beisbol, como paso previo a su sueno de que el soccer (el futbol europeo, para diferenciarlo del suyo, el futbol americano) tuviese una liga profesional a imagen y semejanza de los deportes de masas en EEUU, puso en marcha e impulso un torneo denominado INTERNATIONAL SOCCER LEAGUE (ISL) en el que medirian sus fuerzas un gran numero de equipos de distintos paises de todo el mundo, con la finalidad de dar a conocer este deporte al pueblo estadounidense, para cuya masa era bastante desconocido. En principio el grueso de los encuentros iban a tener lugar en estadios de beisbol adaptados para la practica del balompie, como eran el Polo Grounds en New York y el Roosvelt Stadium en Jersey, si bien poco a poco y a medida que se sucedieron las ediciones, el abanico de sedes se iria ampliando a otros lugares como Chicago, Detroit, Boston o Montreal, llegando incluso a jugarse partidos en Los Angeles, utilizandose estadios de futbol americano.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.064
Threshold uncertainty score0.215

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0050.002
Scholarly communication0.0040.002
Open science0.0010.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0640.017

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 head0.035
GPT teacher head0.325
Teacher spread0.289 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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
Published2011
Admission routes1
Has abstractyes

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