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Record W3006808076 · doi:10.52239/jar.v7i1.3072

EFEKTIVITAS PROGRAM PERTUKARAN PEMUDA INDONESIA-KANADA DALAM MENINGKATKAN AKTIVITAS KEPEMUDAAN DI PROVINSI KALIMANTAN TIMUR

2020· article· en· W3006808076 on OpenAlexaboutno aff
Alfi Febriansyah

Bibliographic record

VenueJurnal Administrative Reform · 2020
Typearticle
Languageen
FieldComputer Science
TopicEducational Methods and Media Use
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical science

Abstract

fetched live from OpenAlex

The purpose of this research is to determine the effectiveness of Indonesia-Canada Youth Exchange Program in Kalimantan Timur in order to increase youth activity, primary data were obtained through key informant namely Committee from Dinas Pemuda dan Olahraga Kalimantan Timur, and 4 informants consisting of PCMI Kalimantan Timur, also alumnae of Indonesia-Canada Youth Exchange Program from Kalimantan Timur Province, also supported by secondary data which is relevant archive. Furthermore, it was analyzed using Analysis Qualitative Data with CIPP Model through the scheme of FAO/Soekartawi evaluation research activities. The result of the research shows that the Indonesia-Canada Youth Exchange Program in Kalimantan Timur is not effective to increase youth activity because in implementation is founded that some components of program success factor were not implemented.Keywords: Effective, Youth Exchange, CIPP

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 score0.914
Threshold uncertainty score0.171

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.067
GPT teacher head0.344
Teacher spread0.277 · 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
Published2020
Admission routes1
Has abstractyes

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