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Record W4212874222 · doi:10.1353/bcc.2022.0104

The Race of the Century: The Battle to Break the Four-Minute Mile by Neal Bascomb

2022· article· en· W4212874222 on OpenAlexaboutno aff
Elizabeth Bush

Bibliographic record

VenueBulletin of the Center for Children's Books./Bulletin of the Center for Children's Books · 2022
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicSports Analytics and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsMileBattleAmateurRace (biology)HistoryArt historyArtSociologyGender studiesAncient historyArchaeologyGeography

Abstract

fetched live from OpenAlex

Reviewed by: The Race of the Century: The Battle to Break the Four-Minute Mile by Neal Bascomb Elizabeth Bush Bascomb, Neal The Race of the Century: The Battle to Break the Four-Minute Mile. Scholastic Focus, 2022 [256p] illus. with photographs Trade ed. ISBN 9781338628463 $18.99 E-book ed. ISBN 9781338628494 $18.99 Reviewed from digital galleys R Gr. 5-8 Bascomb returns with another successful adaptation of material previously released for an adult audience, in this case his 2004 The Perfect Mile. Three middle distance runners—Britain’s Roger Bannister, Australia’s John Landy, and America’s Wes Santee—returned from the 1952 Olympics in Helsinki without medals but with a new goal: to break the four-minute mile, a feat many runners and scientists believed to beyond human capability. Bascomb delivers a balanced account of the men’s differences in personality, motivation, training regimens, and life responsibilities— they were, after all, amateurs with day jobs. There was also the ever-roiling media speculation that accompanied them ahead of the decisive Vancouver Empire Games of 1954, where Bannister edged out Landy (both breaking the four-minute goal), and Santee was left to cover the race from the commentator’s booth. The historical “Miracle Mile” is a thrilling tale in its own right, certain to enthrall middle school track runners and fans, but Bascomb also opens a window on the evolving status of amateur sportsmen, a preview of the financial and regulatory pressures on unpaid players who are expected to play like pros while funding their own training. An author’s note, bibliography, notes, and index are included. Copyright © 2022 The Board of Trustees of the University of Illinois

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)0.001
metaresearch head score (Gemma)0.003
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: none
Teacher disagreement score0.082
Threshold uncertainty score0.273

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.002
Scholarly communication0.0050.006
Open science0.0010.003
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0820.039

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 head0.009
GPT teacher head0.183
Teacher spread0.174 · 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
Published2022
Admission routes1
Has abstractyes

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