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Record W4391869829 · doi:10.51644/9781554581290-002

Preface

2007· book-chapter· en· W4391869829 on OpenAlexaboutno aff
Gerald P. Schaus, Stephen R. Wenn

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsPhilosophy

Abstract

fetched live from OpenAlex

This collection of essays is the result of a conference entitled Onward to the Olympics: Historical Perspectives on the Olympic Games, sponsored by Wilfrid Laurier University (wlu) and the Canadian Academic Institute in Athens (now the Canadian Institute in Greece) and held in Waterloo, Ontario, on 3-4 October 2003.The idea behind the conference was to explore and in some small way reinforce the connection between the Olympic Games of the ancient Greek world-held for a thousand years at Olympia, 250 km west of Athens-and the modern Olympic Games, which were about to return to Athens in the summer of 2004 after a 108-year absence.It was expected that Greece, as host country of the Games of the 28th Olympiad, would engage the attention of both students of history and the curious public at large, who would watch the Olympics in their "place of origin" for the first time in a century.A strong interest in the history of the Olympic Games by the co-chairs of the conference organizing committee, both of whom teach the subject at wlu, as well as the considerable research strengths of colleagues at nearby universities, gave further impetus to the idea, and led to the formation of an organizing committee representing both ancient and modern sides of the Olympic history divide.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.656
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0030.001
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.3440.182

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 head0.123
GPT teacher head0.370
Teacher spread0.247 · 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.

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
Published2007
Admission routes1
Has abstractyes

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