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Record W7024770586

Sport Policy in Canada

2017· book· en· W7024770586 on OpenAlexaboutno aff

Bibliographic record

VenueOpenEdition (OpenEdition) · 2017
Typebook
Languageen
FieldComputer Science
TopicComputational Physics and Python Applications
Canadian institutionsnot available
Fundersnot available
KeywordsPublic policySalientState (computer science)Intervention (counseling)Government (linguistics)Policy analysis
DOInot available

Abstract

fetched live from OpenAlex

Sport Policy in Canada provides the first and most comprehensive analysis of the new Canadian Sport Policy adopted in 2012. In light of this new policy, the authors, top scholars in the field, provide detailed accounts of the most salient sport policies and programs, while also discussing issues and challenges facing policy makers. In Canada and around the world, the last decades have known a sharp increase in state intervention and public funding in pursuit of medals on the international stage and in support of a more active lifestyle. Governments at all levels have made substantial investments in hope of hosting major sporting events to benefit from the economic impact and gain international prestige.The study of sport policies, often neglected in the past, is becoming an increasingly important research topic. Sport Policy in Canada seeks to fill this void by offering the most comprehensive analysis of sport policy since Macintosh, Bedecki, and Franks' Sport Policy in Canada (1987).

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)0.001
metaresearch head score (Gemma)0.004
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: Review · Consensus signal: none
Teacher disagreement score0.202
Threshold uncertainty score0.925

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.011
Science and technology studies0.0140.004
Scholarly communication0.0110.002
Open science0.0020.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0280.003

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 head0.015
GPT teacher head0.250
Teacher spread0.235 · 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
GenreReview

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
Published2017
Admission routes1
Has abstractyes

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