MétaCan
Menu
Back to cohort
Record W4399516967 · doi:10.19184/instem.v2i1.817

A Literacy Program in Increasing of Reading Interest and Children Creativity at Tempurejo Village by Collaborative KKN 045 Jember

2024· article· en· W4399516967 on OpenAlexaff
Millatuz Zahroh, Ahmad Pujiono, A Hondo Wahyu, Dhea Maulana, Andriani Andriani, Indri Ariestiana

Bibliographic record

VenueJurnal Inovasi Sains dan Teknologi untuk Masyarakat · 2024
Typearticle
Languageen
FieldComputer Science
TopicEducational Methods and Media Use
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsCreativityReading (process)LiteracyCivilizationPedagogyPsychologyTheme (computing)Emergent literacyMathematics educationSociologyPolitical scienceSocial psychologyComputer science

Abstract

fetched live from OpenAlex

The Collaborative Real Work Lecture Program (KKN-K) is a form of activity carried out to provide students with learning experiences in social life so that they can help local communities and villages. The KKN-K activities carried out by KKN-K 045 students have a literacy theme called 'Gemilang' or the Inspiring Reading Movement and Brilliant Literacy. The aim of establishing Gemilang activities is to increase interest in reading and foster creativity for the children of Tempurejo Village. This literacy activity was carried out in three places, namely MI Miftahul Ulum, Al-Muna Civilization House, and TPQ Izzatul Qur'an, Tempurejo Village, Jember Regency. The method used during the activity was field observation. Through literacy development activities for the children of Tempurejo Village, especially kindergarten and elementary school age, it is hoped that this will increase their interest in reading and develop children's creativity.

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)0.000
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 score0.006
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.000

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 head0.022
GPT teacher head0.335
Teacher spread0.313 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueJurnal Inovasi Sains dan Teknologi untuk MasyarakatSame topicEducational Methods and Media UseFrench-language works237,207