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Record W2198319038

ISBS: THE EVOLUTION OF A REVOLUTION

2008· article· en· W2198319038 on OpenAlexaboutno aff
J. Ostarello

Bibliographic record

VenueISBS - Conference Proceedings Archive · 2008
Typearticle
Languageen
FieldEngineering
TopicAnatomy and Medical Technology
Canadian institutionsnot available
Fundersnot available
KeywordsSports biomechanicsCommonwealthBiomechanicsEngineeringPolitical scienceLawMedicineSimulation
DOInot available

Abstract

fetched live from OpenAlex

PROLOGUE: The idea of an organization dedicated to the advancement of sports biomechanics germinated during the Montreal Olympic Games in 1976, where the Olympic Biomechanics Cinematography research team, led by Professor Juris Terauds, discussed the issue at length. At the University of Alberta in the fall of 1977 Terauds continued to explore the idea through a long series of philosophical conversations with Geoff Dyson. These discussions explored a variety of topics, including the value of biomechanics in sports, the nature of biomechanics research, and ways in which coaches could be brought “out of the dark ages” and into the starting blocks with scientifically based information. An informal meeting was held in conjunction with the Clinic for High Speed Biomechanics Cinematography in Edmonton, Canada during the International Congress of Sports Sciences in July 1978. Participants expressed a strong sentiment supporting an international society of sports biomechanics. It was not, however, until the following month, at the Commonwealth Games, that the 29 members of the biomechanics cinematography research team addressed the problems of forming and implementing an international society focusing on sports biomechanics. Juris Terauds obtained a two-year sabbatical leave from the University of Alberta for the period 1979 to 1981. He used this time to promote the idea of an international society with biomechanics enthusiasts from around the world. This was no trivial task in an era when the dominant technologies were typewriters, snail mail and non-cell telephones. Nonetheless, he was able to consult with a substantial group of sports scientists. It is interesting that in spite of the relative difficulty of communication, 17 of 40 contributors he contacted were not residents of the U.S.A. Those who made significant contributions are listed in Appendix A.

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)0.012
metaresearch head score (Gemma)0.022
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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.040
Threshold uncertainty score0.133

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.022
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0100.024
Scholarly communication0.0250.015
Open science0.0020.009
Research integrity0.0060.008
Insufficient payload (model declined to judge)0.0400.013

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 head0.012
GPT teacher head0.201
Teacher spread0.189 · 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
Published2008
Admission routes1
Has abstractyes

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