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2021· article· W4293166003 on OpenAlexaff
Syamsuri Syamsuri

Bibliographic record

VenueAl-Mishbah | Jurnal Ilmu Dakwah dan Komunikasi · 2021
Typearticle
Language
FieldComputer Science
TopicEnvironmental Engineering and Cultural Studies
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsPhysicsHumanitiesArt

Abstract

fetched live from OpenAlex

Pilar-pilar dakwah di Kota Balikpapan berdiri sejajar dengan sistem kemapanan sosial. Dinamika penduduk bergerak seiring dengan perkembangan industri pertambangan minyak dan gas bumi. Hari Jadi Kota Balikpapan yang diperingati setiap tahun, bermula pada momentum pengeboran minyak pertama kali di Gunung Teluk Balikpapan pada 10 Februari 1897. Semangat dakwah amar makruf nahi munkar, terus digelorakan dalam rangka mengantisipasi perubahan tatanan akidah umat Islam, akibat pembangunan industri kilang-kilang minyak. Metode penelitian fenomenologi dalam perspektif kegiatan-kegiatan keislaman di Kota Balikpapan, terdapat fenomena infrastruktur dakwah yang sudah menyejarah dari kekuatan dua kesultanan, yaitu Kerajaan Paser dan Kerajaan Kutai Kartanegara Ing Martapura. Provinsi DKI (Daerah Khusus Ibukota) Jakarta yang sejak merdeka hingga sekarang sebagai Ibu Kota Negara (IKN), dulunya bernama Jayakarta. Kini, DKI akan bergerak menuju IKN. Dari Jakarta menuju kawasan Kartanegara.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.558
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0030.001
Scholarly communication0.0050.002
Open science0.0010.004
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.4420.302

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 head0.013
GPT teacher head0.220
Teacher spread0.207 · 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.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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