MétaCan
Menu
Back to cohort
Record W4392840822 · doi:10.1520/stp39639s

Front Matter

2006· paratext· en· W4392840822 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typeparatext
Languageen
FieldMedicine
TopicWinter Sports Injuries and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsFront (military)HistoryGeographyMeteorology

Abstract

fetched live from OpenAlex

The ten articles published in this book were among the 48 papers that were presented at the 16th International Conference on Skiing Trauma and Safety of the International Society of Skiing Safety (ISSS), which was held at the Arai Mountain Resort and Spa, Niigata, Japan, from April 17–23, 2005. The International Society of Skiing Safety was founded as a result of the 1st World Congress on Skiing Safety that was held in Riksgränsen, Sweden, in 1974. The organization of the Society was instigated under the enlightened leadership of Ejnar Eriksson, MD, of the Karolinska Hospital in Stockholm, Sweden. The second meeting of the society occurred in 1977 in the Sierra Nevada of Spain and has been held biennially ever since. The subsequent meetings occurred in Queenstown, New Zealand in 1979, Bormio, Italy in 1981, Keystone, Colorado, USA in 1983, Naeba, Japan in 1985, Chamonix, France in 1987, Riksgränsen, Sweden for a second time in 1989, Thredbo, Australia in 1991, Zell am Zee, Austria in 1993, Voss, Norway in 1995, Whistler/Blackcomb, British Columbia, Canada in 1997, Breuil Cervinia, Italy in 1999, Queenstown, New Zealand in 2001, St. Moritz/Pontresina, Switzerland in 2003, and Arai, Niigata, Japan in 2005. Planning is now well underway for the 17th meeting of the ISSS to be held in May 13–19 2007, in Aviemore, Scotland under the direction of Dr. Mike Langran. The 18th meeting of the ISSS is being planned for the spring of 2009 near Garmisch Partenkirchen in Germany.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.213
Threshold uncertainty score0.642

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.5710.358

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 head0.008
GPT teacher head0.263
Teacher spread0.255 · 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; both teacher heads agree on what is shown here.

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
Published2006
Admission routes1
Has abstractyes

Explore more

Same topicWinter Sports Injuries and PerformanceFrench-language works237,207