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Record W2902039029 · doi:10.5539/ass.v14n12p236

The Study on Development and Countermeasures of Qingdao Sailing in Under the Background of “The 2018 SCO Summit”

2018· article· en· W2902039029 on OpenAlexvenueno aff
Xiuying Hu

Bibliographic record

VenueAsian Social Science · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicPhysical Activity and Education Research
Canadian institutionsnot available
Fundersnot available
KeywordsSummitChinaRecreationPromotion (chess)Political scienceStatus quoPopularityGeographyCartography

Abstract

fetched live from OpenAlex

The SCO summit of Qingdao was an important diplomatic activity for China, and it was a global event. General secretary Jinping Xi has given important instructions on the success of the SCO summit in Qingdao. He has hoped to sum up the useful experience of “having a good meeting and invigorating a city” carefully. The historical experience has also proved once again that an important international conference brings great impetus and promotion effect to a city. Therefore, as the “SCO summit city”, Qingdao is also the “Olympic sailing capital” and “ocean city”. With the continuous development of China’s marine sports, sailing has gradually entered the horizon of people. However, China started late in sailing, and competitive sailing has only achieved relatively good results in recent years. It is developing competitive sailing boats. At the same time, the development of recreational sailing is also to be strengthened. The development of recreational sailing is in line with people’s demands for exploration of the sea, recreation, and healthy life, so that the popularity of sailing has become a national sport that has strengthened both the north and the south of China. The interaction between the parties has also strengthened economic and cultural exchanges and cooperation between home and abroad. (Qing, 2018) This article has analyzed the status quo of the development of leisure sailing in Qingdao. Its purpose was to analyze the problems of leisure sailing in the process of developing idle resources and lack of reserve forces, and proposed the corresponding solutions and suggestions. For example: rational using of resources to deal with seasonal changes; using of media channels to promote leisure Sailing; developing of reserve forces; sailing events for the masses; organizing community activities. At the same time, it has drawn same lessons from the development experience of foreign leisure sailing and selects suitable methods to cater for the development of leisure sailing in Qingdao. This article has used the literature, expert interviews and questionnaires to explore the current status of the development of leisure sailing in order to promote the coordinated development of leisure sailing in Qingdao in the future with social, economic and cultural development.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.047
Threshold uncertainty score0.094

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.056
GPT teacher head0.342
Teacher spread0.286 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

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