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Record W2466925932

1001 days in the bleachers : a quarter century of Chicago sports

2013· book· en· W2466925932 on OpenAlexaboutno aff
Ted Cox

Bibliographic record

VenueBulletin of Miscellaneous Information (Royal Gardens Kew) · 2013
Typebook
Languageen
FieldArts and Humanities
TopicAmerican Sports and Literature
Canadian institutionsnot available
Fundersnot available
KeywordsChampionPortraitQuarter (Canadian coin)Performance artWhite (mutation)HistoryShot (pellet)Art historyArtAdvertisingVisual artsMedia studiesSociologyArchaeology
DOInot available

Abstract

fetched live from OpenAlex

Loyal sports fans follow their teams through peaks and valleys, but in no other city have fans experienced the highs and lows of Chicagoans in the past generation. This collection of Ted Cox s greatest hits writing The Sports Section for the Chicago Reader from 1983 to 2008 constitutes an intimate history of Chicago teams during these years. From the triumphs the six titles won by the Bulls, the Super Bowl champion 1985 Bears, and the White Sox winning the World Series in 2005 to the regularly occurring collapses of the Cubs, Cox puts his audience on the scene. He evokes the fan s experience with a level of vivid detail now nearly extinct from sports journalism. Cox writes like an ordinary observer who just happens to have excellent seats and easy access to the players and coaches. 1,001 Days in the Bleachers stands not only as a chronicle of Chicago s teams but also as a portrait of the evolution of professional sports and their place in the life of the city.

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)0.000
metaresearch head score (Gemma)0.001
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: Other · Consensus signal: Other
Teacher disagreement score0.039
Threshold uncertainty score0.132

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.003
Scholarly communication0.0070.003
Open science0.0010.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0390.010

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 head0.005
GPT teacher head0.162
Teacher spread0.157 · 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
GenreOther

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
Published2013
Admission routes1
Has abstractyes

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