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Record W3108743840 · doi:10.48094/raudhah.v5i1.59

KONSEP MATERI PEMBELAJARAN FIQH DI MADRASAH

2020· article· id· W3108743840 on OpenAlexaff
Husnul Amin

Bibliographic record

VenueRaudhah Proud To Be Professionals Jurnal Tarbiyah Islamiyah · 2020
Typearticle
Languageid
FieldSocial Sciences
TopicEducation and Character Development
Canadian institutionsSAIT Polytechnic
Fundersnot available
KeywordsHumanitiesPsychologyArt

Abstract

fetched live from OpenAlex

Pembelajaran adalah suatu kombinasi tersusun unsur-unsur manusiawi, material, fasilitas, perlengkapan dan prosedur yang saling mempengaruhi dalam mencapai tujuan pembelajaran. Manusia yang terlibat dalam sistem pembelajaran terdiri dari anak didik, guru dan tenaga lainnya. Material meliputi buku-buku, film, audio, dan lain-lain. Fasilitas dan perlengkapan terdiri dari ruang kelas, perlengkapan audio visual, dan juga komputer. Sedangkan prosedur meliputi jadwal, metode penyampaian, belajar, dan lain-lain. Unsur-unsur tersebut saling berhubungan (interaksi) antara satu unsur dengan unsur yang lain

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.054
Threshold uncertainty score0.180

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.002
Scholarly communication0.0040.002
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0540.009

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 head0.355
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

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 designQualitative
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".

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Citations0
Published2020
Admission routes1
Has abstractyes

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