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Record W4368617700 · doi:10.32729/edukasi.v21i1.1287

Modernisasi Manajemen Pesantren Menyongsong Era Society 5.0

2023· article· en· W4368617700 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEDUKASI Jurnal Penelitian Pendidikan Agama dan Keagamaan · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Character Development
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsModernization theoryNoveltyData collectionQualitative researchQualitative propertyResearch dataSociologyPublic relationsPolitical scienceSocial scienceData sciencePsychologyComputer science

Abstract

fetched live from OpenAlex

Modernization of pesantren management is an important agenda item to be implemented immediately in welcoming the era of "society 5.0." The massive use of technology and information in the era of "society 5.0" provides challenges as well as opportunities for pesantren to adapt substantively and administratively. The aim of this research is to get a description of the modernization of pesantren management carried out at the Pesantren Al-Kautsar Banjar in response to Society 5.0. This research used a descriptive-qualitative approach. The empirical research data collection techniques are carried out in two ways, namely, primary data collection through field research, interviews, and direct observation, as well as secondary data obtained from library sources. The results of the research show that the modernization of pesantren management has been carried out at the Pesantren Al-Kautsar Banjar with five indicators, namely intentionality, novelty, specificity, acceptability, and direction towards certain goals.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.214
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.038
GPT teacher head0.325
Teacher spread0.287 · 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