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Record W2088374332 · doi:10.1080/17430437.2013.785750

In defence of Tom Longboat<sup>†</sup>

2013· article· en· W2088374332 on OpenAlexaffabout
Bruce Kidd

Bibliographic record

VenueSport in Society · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsChampionAmateurLawSubject (documents)Front (military)HistoryPolitical scienceMedia studiesSociologyEngineeringLibrary science

Abstract

fetched live from OpenAlex

Tom Longboat, an Onondaga from the Six Nations Reserve near Brantford, Ontario, Canada was an outstanding runner during the decade before World War I. He won virtually every amateur race he entered in record time, and when a North American professional marathon circuit was created after the controversial 1908 Olympic Marathon, he became its first ‘world champion’. Longboat was exciting to watch – he could win from the front and win from behind and many of his races had heart-stopping finishes. The crowds loved him. When he won the Boston Marathon, Toronto city controller William Hubbard said that ‘I don't know anyone who has done more to help the Commissioner of Industries than this man Longboat’. City Council promised to pay him $500 when he retired from amateur racing. But he was a subject of controversy, too, and rumours abounded that he never trained and was rarely sober. After he retired and became a garbage collector, his story became ‘Rags to Riches to Rags’.

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: Empirical · Consensus signal: none
Teacher disagreement score0.898
Threshold uncertainty score0.294

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0090.002
Scholarly communication0.0040.001
Open science0.0010.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0880.026

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 head0.232
Teacher spread0.223 · 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
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
Published2013
Admission routes2
Has abstractyes

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Same venueSport in SocietySame topicCanadian Identity and HistoryFrench-language works237,207