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Record W3127558605 · doi:10.1123/shr.2019-0032

Rose-Colored Glasses: Competing Media Perceptions of the Pete Rose Betting Scandal

2021· article· en· W3127558605 on OpenAlexaff
Craig Greenham

Bibliographic record

VenueSport History Review · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicAmerican Sports and Literature
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsRose (mathematics)LeagueNarrativeAdvertisingMedia studiesSociologyHistoryArtLawPolitical scienceBusinessLiterature

Abstract

fetched live from OpenAlex

In a 2004 autobiography, legendary player Pete Rose confessed to gambling on baseball games, even those that included his Cincinnati Reds. The passage of time has clarified much about the betting scandal that plagued Major League Baseball (MLB) in 1989. Over the course of the six-month saga, Rose’s denials and his adversarial relationship with the Commissioner’s Office shrouded MLB’s investigation in controversy. This study explores the press coverage of the scandal in 1989 and determines that the Cincinnati press was more sympathetic to, and supportive of Rose than out-of-market coverage, represented in this investigation by The New York Times. These findings are consistent with previous research that indicates that local media favors hometown institutions during times of crisis. This study expands that theory by demonstrating that favoritism extends to individual players whose connection to the city is significant, and furthers our understanding of the media’s role in shaping the narratives of scandal.

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)0.004
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0050.007
Scholarly communication0.0100.005
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.021
GPT teacher head0.225
Teacher spread0.204 · 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 designQualitative
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
Published2021
Admission routes1
Has abstractyes

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Same venueSport History ReviewSame topicAmerican Sports and LiteratureFrench-language works237,207