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Record W4387805617 · doi:10.15294/inapes.v2i2.47344

Survei Sarana Dan Prasarana Pendidikan Jasmani Sekolah Dasar Di Kecamatan Winong Kabupaten Pati Tahun 2021

2021· article· en· W4387805617 on OpenAlexaff
Arif Rahman, Roas Irsyada

Bibliographic record

VenueIndonesian Journal for Physical Education and Sport · 2021
Typearticle
Languageen
FieldHealth Professions
TopicSports and Physical Education Research
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsData collectionDocumentationPhysical educationMedical educationRecreationPsychologySurvey researchMathematics educationSociologyComputer scienceMedicinePolitical scienceApplied psychologySocial science

Abstract

fetched live from OpenAlex

Arif Rahman,. 2021. Survey of Physical Education Facilities and Infrastructure Elementary School in Winong Sub-District Pati Regency. A Final Project. Physical Education, Health and Recreation, Faculty of Sport Sciences, Universitas Negeri Semarang. Advisor: Roas Irsyada S.pd.,M.pd. Keywords: Physical Education, survey, facilities, infrastructure. The background of this research is based on preliminary observation indicates that there is need for data about the availability and condition of facilities and infrastructure to support physical education learning in Kedu Sub-District Elementary School, Temanggung Regency. The purpose of this research is to know the results conditions of physical education learning facilities and infrastructure at the elementary school in Kedu Sub-District Temanggung Regency. The research method used is a survey with a quantitative descriptive approach. The research site is located in Temanggung Regency with a research target of 10 elementary schools in Winong Sub-district Pati Regency. Data collection techniques using quota sampling techniques. Instruments used using observations, interviews with Principals and Physical Education Teachers, observation sheets and documentation. Data collection includes the number of tools, the number of tools, the number of facilities, the condition of the tool, the condition of the tool and the condition of the facility. The analysis used is quantitative descriptive by classifying the types of data obtained from observation sheets and grouped. Based on the data analysis that has been carried out in the Survey of Physical Education Facilities and Infrastructure in Public Elementary Schools in Winong District, Pati Regency, it can be concluded that the results of the study on the condition of the number of physical education learning facilities and infrastructure in Public and Private Elementary Schools in Winong District, Pati Regency from 10 It is known that all elementary schools are in the Enough category (100%). Then the condition of the number of Physical Education learning tools in the State Elementary School, Winong District, Pati Regency, out of 10 elementary schools it is known that there are 2 schools in the good category (20%), there are 8 elementary schools that fall into the sufficient category (80%) and 0 schools are in the good category. less ( 0% ). This research concludes that the facilities and infrastructures in elementary school in Winong sub-district Pati Regency are in medium category. The suggestion given by researchers is for the Pati Regency government to more attention to the facilities and infrastructure available at the elementary school in Winong sub-district and physical education teachers can support and modify the facilities and infrastructure available at the school especially in Public and Private Elementary Schools in the Winong District, Pati Regency.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.085

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 studies0.0020.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0250.004

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 head0.051
GPT teacher head0.450
Teacher spread0.399 · 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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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