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Record W1511331808

The Need for a Worldwide Draft To Level The Playing Field and Strike Out The National Origin Discrimination in Major League Baseball

2010· article· en· W1511331808 on OpenAlexaboutno aff
Daniel Hauptman

Bibliographic record

VenueLoyola of Los Angeles entertainment law review · 2010
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicSports Analytics and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsLeagueField (mathematics)Political scienceHullAdvertisingBusinessEngineeringMathematicsMarine engineering
DOInot available

Abstract

fetched live from OpenAlex

Under current Major League Baseball rules, if an amateur player is a resident of the United States, Canada, Puerto Rico or other U.S. territory, he can sign with a major league team only after being selected by the team in the annual First-Year Player Draft (or sign with any team after not being selected in a draft in which the player is eligible). However, all international players who are residents of countries other than those listed above are not eligible for the draft and are free to negotiate and sign with any team when they reach the age of sixteen or seventeen years old, depending on the player's date of birth. When applying federal (Title VII) and state national origin discrimination laws to the baseball drafting system, it is evident that all draft- eligible U.S. baseball players (as well as residents of Canada and U.S. territories) could successfully state a claim of "reverse" national origin discrimination inherent in the draft. Furthermore, the national origin discrimination claim would not be preempted by national labor law that encourages collective bargaining in sports and other industries. There have been forty-five years of baseball entry drafts in which U.S. amateurs have been treated worse than foreign players, and there would be no need for discrimination litigation if Major League Baseball were to institute a worldwide draft with uniform drafting rules around the globe.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.969
Threshold uncertainty score0.562

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.058
GPT teacher head0.292
Teacher spread0.234 · 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.

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

Citations1
Published2010
Admission routes1
Has abstractyes

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