Urgensi Khotbah Ekspositori Dalam Mewartakan Firman Bagi Kemuliaan Tuhan Di Tengah-Tengah Jemaat Masa Kini
Bibliographic record
Abstract
Abstrak: Artikel ini mengkaji khotbah ekspositori wujud kemestian dalam ibadah Kristen yang mewartakan Firman Allah di tengah-tengah jemaat masa kini. Artikel ini fokus pada urgensi khotbah ekspositori dalam mewartakan Firman bagi kemuliaan Tuhan ditengah-tengah jemaat masa kini, karena pengkhotbah wajib berkomitmen mewartakan atau mengekspos kebenaran Firman Allah dalam satu runtun dari tema, pokok-pokok besar dan bagian yang kecil berpangkal dan berintegrasi dari teks Alkitab. Metode yang digunakan dalam kajian artikel ini bersifat deskriptif-evaluatif tentang khotbah ekspositori dan bagaimana pengkhotbah mengimplementasikan dan mampu merekonstruksi dalam khotbah ekspositori yang mewartakan Firman bagi kemuliaan Tuhan di tengah-tengah jemaat masa kini. Kajian ini memperoleh hasil bahwa khotbah ekspositori adalah khotbah yang mewartkan Firman bagi kemuliaaan Tuhan di tengah-tengah jemaat masa kini. Dalam hal ini diperlukan pemahaman para pengkhotbah ekspositori yang terus berupaya mempersiapkan dan dalam penyampainnya, meskipuan khotbah ekspositori juga memiliki kelemahan dan kekurangan, namun pengkhotbah ekspositori dalam mewartakan atau mengekspos kebenaran Firman senantiasa dan terus-menerus konsisten mewartakan Firman bagi kemuliaan Tuhan di tengah-tengah jemaat masa kini.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.096 | 0.019 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".