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Record W3089126967 · doi:10.29081/gsjesh.2018.19.1s.13

The State of Condition of Sport in Cyprus: a Study of the Cyprus Sport Organization and Sports Federations of Cyprus

2019· article· en· W3089126967 on OpenAlexaff
Nicos Kartakoullis, Stavros Pouloukas, Christina Loizou, Evan Webb, George Karlis

Bibliographic record

VenueGYMNASIUM · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsGrassrootsDeskState (computer science)Sport managementProfessional sportRecessionPublic relationsPolitical scienceBusinessLawEconomics

Abstract

fetched live from OpenAlex

The purpose of this study is to examine the condition of sport in Cyprus. An analysis of how and by whom sport programs are operated presents an overview of sport facilities and the operating costs of the Cyprus Sport Organization (CSO) and the national federations. Data was collected using mailed survey and desk research. Results indicated that: (1) Cyprus has the necessary infrastructure that can support social, leisure and grassroots sports, (2) the economic recession has contributed to the decrease of related funds allocation (3) willingness on behalf of the CSO to further develop leisure sport, (4) many federations do not seem to keep related records, (5) the CSO seems well organized in supporting the existing institutions. Despite lack of funds, sport continues to play a critical role in the development of society. It is recommended that sport continues to come to the forefront of decision making in Cyprus and in developing a sporting culture, offering the necessary opportunities and facilities.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.055
Threshold uncertainty score0.109

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.008
GPT teacher head0.271
Teacher spread0.262 · 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 designObservational
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

Citations1
Published2019
Admission routes1
Has abstractyes

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