MétaCan
Menu
← Back to cohort
Record W1886944457

A Notable Endeavor: The Nature and Significance of Olympic Education in the Pre-and Post-Period of Beijing's 2008 Olympic Games

2015· article· en· W1886944457 on OpenAlexaboutno aff
Wenshuai Mao

Bibliographic record

VenueScholarship@Western (Western University) · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsBeijingPeriod (music)HistoryAdvertisingPolitical scienceChinaAestheticsBusinessLawArt
DOInot available

Abstract

fetched live from OpenAlex

This study investigated the nature and significance of Beijing’s Olympic education\ninitiative from its inception seven years before the 2008 Olympic Games to 2015, seven years\nafter the conclusion of the great festival. As exploratory research, this study is the first to cover\nthis academic topic. In 2001, commensurate with Beijing’s award of the 2008 Olympic Summer\nGames, a non-governmental “grassroots team” initiated an Olympic Education and Olympic\nSpirit initiative in a small sample of Beijing’s primary and secondary schools. The team was led\nby a Canadian-trained professor, Dongguang Pei. In 2005, impressed with Pei’s and his team’s\ninitiative, and following the International Olympic Committee’s guidelines for host cities\nmounting Olympic Education initiatives, the Chinese government endorsed and supported an\nOlympic Education Legacy initiative called the Olympic Action Plan. The Chinese government’s\nsupport of disseminating Olympic knowledge to 400 million Chinese youth nationwide presented\nChinese schools, the IOC, and the world with a model for a comprehensive, vigorous, and what\nsome have judged a highly successful public and private school Olympic education program.\nCompared with the unique Olympic education program presented throughout the seven\nyear period before and during the 2008 Olympic Games, in the seven years following (2008-2015),\nthe carefully and energetically-built program of Olympic Education deteriorated badly. The\nChinese government abandoned its leadership and enterprise in sustaining Olympic Education.\nBased on the investigation sample, “Olympic education activities” in the program’s “model\nschools” deteriorated abruptly after 2008. Funding, Olympic Education teacher training, and\ninternational school partner associations ceased. On-site observation and interviews resulted in the\nfinding that Yangfangdian Central Primary school, the pioneer school of Beijing’s Olympic\neducation, remained the only model school which retained Olympic education activity after the\niii\n2008 Games. During the post-Games period, Beijing’s Olympic education was replaced by new\ngovernment approaches to education. This study needs to be understood within China’s unique\nsocial, educational and political climate. On the one hand, a centralized political system ensured\nthat Olympic education be implemented under extremely powerful organizational orders. These\norders guaranteed not only financial and human resources support, but also the climate for\nOlympic education to expand extremely quickly through multiple administrative levels. On the\nother hand, and correspondingly, the disappearance of Olympic education after the Games was,\nmost certainly, due chiefly to the government’s withdrawal of initiative and support. It is a\njustifiable conclusion that the Chinese centralized system, though enabling the program at its\noutset and early development periods, in the end rapidly constrained the entire initiative.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.109
Threshold uncertainty score0.216

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0020.002
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.055
GPT teacher head0.334
Teacher spread0.279 · 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 designQualitative
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

Citations0
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueScholarship@Western (Western University)→Same topicSport and Mega-Event Impacts→French-language works237,207→