MétaCan
Menu
Back to cohort

'SYAHADAT' SEBUAH PENDEKATAN DALAM MENGOPTIMALKAN MANAJEMEN PAUD BERBASIS MASYARAKAT

2015· article· id· W2949675480 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

VenueJurnal Al-Ijtimaiyyah · 2015
Typearticle
Languageid
FieldSocial Sciences
TopicEducational Methods and Impacts
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsHumanitiesSociologyArt

Abstract

fetched live from OpenAlex

AUD merupakan lembaga pendidikan yang banyak dikembangkan oleh masyarakat dalam rangka membantu mensukseskan program pemerintah dalam bidang pendidikan, khususnya pendidikan anak usia dini di selurh pelosok tanah air. PAUD berbasiskan masyarakat artinya PAUD yang dikembangkan oleh masyarakat, dimana masyarakat merupakan subjek pendidikan dan bukan merupakan objek pendidikan. PAUD yang dikembangkan masyarakat ini merupakan jawaban dari kebutuhan masyarakat karena pentingnya PAUD di wilayah tempat tinggal mereka, tidak hanya berada di kota kota saja, namun PAUD harus menjangkau di seluruh pelosok desa. Sehingga PAUD berbasiskan masyarakat ini dapat berada di tengahtengah masyarakat yang menjadi sebuah kebutuhan masyarakat,dan masyarakat saling menjaga keberlangsungan PAUD tersebut. Kata kunci: Pendidikan anak, Syahadat, Masyarakat

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)0.005
metaresearch head score (Gemma)0.002
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.370
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.102
GPT teacher head0.396
Teacher spread0.294 · 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