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Record W3092195369 · doi:10.1111/labr.12235

Internal promotion and the Bosman ruling: Evidence from the English Premier League

2022· article· en· W3092195369 on OpenAlexaff
Mihailo Radoman, Marcel Voia

Bibliographic record

VenueLabour · 2022
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicFirm Innovation and Growth
Canadian institutionsCarleton UniversityPublic Health Agency of Canada
Fundersnot available
KeywordsLeagueClubPromotion (chess)ReputationSelection (genetic algorithm)Set (abstract data type)MarketingBusinessPublic relationsEconomicsPolitical scienceComputer sciencePoliticsLaw

Abstract

fetched live from OpenAlex

Abstract The analysis of English Premier League clubs' reliance on internal versus external sources for competitive game‐time opportunities to unproven players is motivated by relevant labour economics literature. Two uniquely created data sets are utilized to establish robust results supporting the notion that certain clubs' youth programmes provide greater first‐team playing time opportunities through internal sources. This information is further used to create a unique index for youth development reputation of the clubs. In addition to this index and the original data set, this paper creates a link between existing internal versus external hiring labour literature and a club's decision to give game‐time opportunities to new players externally or resort to their internal hiring. Foreign sourced players become more prevalent in the league after the Bosman ruling, and their probability of game‐time selection is positively correlated with club stature. Survival analysis results also establishes a presence of heterogeneity at the youth club level that signals differences in player career prospects generated by their youth training, which is supplementary to the number of opportunities given to youth players by these clubs. This model also shows that the Bosman ruling positively impacts the career duration of youth players as opposed to its negative effect on game‐time selection, which signals that even though competitive game‐time opportunities are more limited, the quality of internally sourced players is higher as a result of increased competitive pressures brought upon by the Bosman ruling.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.612
Threshold uncertainty score0.992

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)0.0010.000

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 head0.037
GPT teacher head0.219
Teacher spread0.182 · 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 designTheoretical or conceptual
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

Citations3
Published2022
Admission routes1
Has abstractyes

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