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Record W3108008135 · doi:10.48094/raudhah.v5i1.62

Transformasi Sosial Pendidikan

2020· article· en· W3108008135 on OpenAlex
Ahmad Sopian

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

VenueRaudhah Proud To Be Professionals Jurnal Tarbiyah Islamiyah · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Character Development
Canadian institutionsSAIT Polytechnic
Fundersnot available
KeywordsBackwardnessSocial changeGovernment (linguistics)Social transformationTransformation (genetics)PopulationPopulation growthPolitical scienceSociologyEconomic growthPublic relationsEconomicsDemographyBiology

Abstract

fetched live from OpenAlex

Social transformation and education can not be avoided, there are changes that are fast and some are slow. Two factors that make the change come from within the community itself and some from outside. What comes from the community are population growth, relations with other cultures, new discoveries, technology and so on. While from the outside is the surrounding environment, the influence of other cultures and so on.Social transformation and educational is planned and some unplanned. The planned changes will be carried out by the agent of change to obtain the desired conditions of the agent of change. Agents of change for example education, government, companies, development and so on.Every time a transformation occurs, the community will try to adjust to these changes. But if a society is closed from transformation or rejected, there will be cultural backwardness

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), 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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.799
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.083
GPT teacher head0.377
Teacher spread0.293 · 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