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Record W322516666

Heart and Soul: Let the games begin

2002· article· en· W322516666 on OpenAlexvenueaboutno aff
Donalee Moulton

Bibliographic record

VenueCanadian Medical Association Journal · 2002
Typearticle
Languageen
FieldMedicine
TopicTrauma Management and Diagnosis
Canadian institutionsnot available
Fundersnot available
KeywordsAthletesOfficerEliteWheelchairHorseback ridingMedicinePsychologyLawPhysical therapyPolitical science
DOInot available

Abstract

fetched live from OpenAlex

Dr. Michael Riding has spent the last 23 years guiding elite athletes across Canada and around the world, both literally and figuratively. The Halifax radiologist, who has helped blind runners by leading them in their races, is chief medical officer at the 2002 Paralympic Winter Games, which begin in Salt Lake City Mar. 7. That role is the culmination of years of volunteer work in sports and medicine. “These are not disabled athletes,” Riding maintains. “They are athletes with a disability.” The Paralympics, he adds, “has world-class athletes, but there is an unselfishness that is probably gone from a lot of elite, able-bodied sport.” Riding's involvement began in 1979 when he was asked to be “guide runner” for young, blind athletes in Halifax. He agreed to lend his eyes and feet to the cause, and then he ran in a marathon with a blind friend. “I led him for the first 20 miles,” he laughs, “and he led me for the last 6.” Riding, chief of diagnostic imaging at the IWK Health Centre, soon found himself taking part in the Canadian championships for athletes with a disability — as team physician. It was, he explains, the only way he could volunteer as a guide runner and have his way paid. In 1982 Halifax was slated to host the Pan American Games for the Disabled – the games at which wheelchair athlete Rick Hansen won 8 gold medals. In preparation, Riding started attending other competitions to see how they were organized. That look into elite sports led to his involvement in the World Wheelchair Sports Medicine Committee. He then became the first medical officer and chair of the medical committee for the International Paralympics, a nonprofit association of national Paralympic associations. Athletes with a disability do not differ significantly from other athletes in their drive, skills or accomplishments, says Riding, and “we've slowly gotten away from the concept that these athletes have special needs.” This recognition has led to the establishment of mainstream medical clinics for the Paralympic Games, which are held every 2 years in conjunction with the Summer and Winter Olympics. Some Paralympic athletes are more prone to specific types of injury — wheelchair athletes, for example, have more upper body strains, while blind athletes tend to experience leg injuries — but the nature of the injuries is common to most athletes. In some sports, such as swimming, the injuries are virtually the same for the 2 groups. “It's just sports medicine with sports injuries. These athletes are mostly coached by those who coach able-bodied athletes.” Unfortunately, physical prowess isn't all these 2 groups of athletes have in common. At the Sydney Olympics in 2000, positive tests for banned drugs were more prevalent at the Paralympics than the Olympics. The reason athletes use the substances is the same whether they have a disability or not, notes Riding — they simply want to win. Riding's time as chair of the medical committee for the Paralympics will end this May after 3 terms, but he will likely remain involved in some capacity because “they always need volunteers.” If there is a bit more free time on the horizon, it will likely be spent with his daughter, Hannah, and with the 50 breeding ewes he has on his farm in Lunenburg County, NS, and with Ping. Ping is a guard llama, and a rather famous one at that. Believed to be the only guard llama in Canada, Ping has been featured on the Discovery Channel herding Riding's sheep and bringing them home to rest.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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: Commentary · Consensus signal: none
Teacher disagreement score0.693
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.000

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 head0.015
GPT teacher head0.231
Teacher spread0.217 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreCommentary

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
Published2002
Admission routes2
Has abstractyes

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