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Record W7054459621

Analisis Organisasi dan Tata Kerja Dinas Pertanahan Kabupaten Nunukan

2017· dissertation· id· W7054459621 on OpenAlexaff

Bibliographic record

VenueUniversitas Terbuka Repository (Universitas Terbuka) · 2017
Typedissertation
Languageid
FieldPhysics and Astronomy
TopicAtomic and Subatomic Physics Research
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsTransposition (logic)
DOInot available

Abstract

fetched live from OpenAlex

Tujuan penelitian ini adalah mendapatkan deskriptif kesesuaian spesialisasi organisasi dan kesesuaian dana-peralatan pada tata kelja, serta pengeruh ketidak sesuaiannya terhadap tujuan Dinas Pertanahan Kabupaten Nunukan. Penelitian ini merupakan penelitian deskriptif kualitatif yang dilaksankana pada Dinas Pertanahan Kabupaten Nunukan. Untuk informan pada penelitian ini adalah unsur pejabat struktural Dinas Pertanahan Kabupaten Nunukan, serta sebagai informan kunci adalah Kepala Dinas Pertanahan Kabupaten Nunukan. Dinas Pertanahan merupakan organisasi yang dibentuk tujuan meyelesaikan urusan pertanahan di Kabupaten Nunukan. Dinas Pertanahan merupakan struktur birokrasi pemerintah dengan tipe organisasi kecil (tipe-C) dengan unsure pemnbentuknya berupa regulasi pusat dan regulasi daerah dan dititipkan tugas-fungsi yang diuraikan untuk tiap-tiap struktur Dinas. Tata kerja Dinas Pertanahan Kabupaten Nunukan pelaksanaan dari uraian
\ntupoksi struktur Dinas. Dimana untuk pekerjaan pada Dinas tetap dilaksanakan walaupun belum semua teknis memiliki tata cara pekerjaan atau standar prosedur pekerjaannya.
\nKemudian dari penelitian ini diperoleh hasil bahwa diakui terdapat sedikit ketidak-sesuaian tupoksi struktur Dinas dengan nama strukturnya, dan hampir semua bidang (struktur) teknis Dinas belum memiliki panduan tata cara pelaksanaan pekerjaan.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.758
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0020.003
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.001
Science and technology studies0.0060.001
Scholarly communication0.0010.003
Open science0.0050.001
Research integrity0.0010.002
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 head0.011
GPT teacher head0.250
Teacher spread0.239 · 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; both teacher heads agree on what is shown here.

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".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

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