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Record W2033339089 · doi:10.1249/jsr.0b013e3181fe3c44

Long-Term Athlete Development Canada

2010· article· en· W2033339089 on OpenAlexaffabout
Stephen R. Norris

Bibliographic record

VenueCurrent Sports Medicine Reports · 2010
Typearticle
Languageen
FieldPsychology
TopicSport Psychology and Performance
Canadian institutionsCanadian Sport Centre Pacific
Fundersnot available
KeywordsRecreationAgency (philosophy)ExcellenceEliteChristian ministryPublic relationsPolitical scienceGovernment (linguistics)Public administrationSociologyLawSocial sciencePolitics

Abstract

fetched live from OpenAlex

This text provides a synopsis, as well as some greater detail, concerning the "Canadian Sport for Life" project Long-Term Athlete Development Canada (LTAD) initiated in 2004. The genesis of the project may be found in the Canadian Sport Policy released in 2002 by Sport Canada, the sport participation and performance agency within the Canadian Heritage Ministry of the Canadian Government. The project has grown from relatively humble beginnings to become a system-wide movement and catalyst for change that encompasses not only sport participation and excellence, but also aspects to do with education, health, and general recreation. Additionally, it involves all age groups (cradle to grave). Although the project was initiated on behalf of performance sport, it is a clear example of how sport can influence and interact with many facets of a society. In Canada, LTAD clearly is tied to a philosophy that spans a broad narrative from healthy active lives to elite sport performance.

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)0.002
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 score0.938
Threshold uncertainty score0.451

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0090.002
Scholarly communication0.0050.001
Open science0.0020.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0300.003

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 head0.026
GPT teacher head0.337
Teacher spread0.311 · 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

Citations23
Published2010
Admission routes2
Has abstractyes

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Same venueCurrent Sports Medicine ReportsSame topicSport Psychology and PerformanceFrench-language works237,207