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Record W7046519592

Efektivitas Organisasi Inspektorat Kabupaten Bulungan

2017· dissertation· id· W7046519592 on OpenAlexfundno aff

Bibliographic record

VenueUniversitas Terbuka Repository (Universitas Terbuka) · 2017
Typedissertation
Languageid
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
FundersOffshore Energy Research Association
KeywordsNucleofectionLiquationGestational periodFusible alloyPretext
DOInot available

Abstract

fetched live from OpenAlex

Penelitian ini bertujuan untuk mengetahui efektivitas pelaksanaan tugas pengawasan yang dilakukan oleh Inspektorat Kabupaten Bulungan sebagai organisasi pengawasan internal pemerintah. Secara operasional, efektivitas organisasi Inspektorat Kabupaten Bulungan diukur dari dimensi produktivitas, kemampuan menyesuaikan diri dan kepuasan kerja Untuk menggali informasi yang dibutuhkan, maka metode yang digunakan adalah metode penelitian deskriptifkualitatif dengan mengkombinasikan analisis data sekunder dan wawancara mendalam. Selanjutnya data dijelaskan dan dipaparkan,
\npengujiannya dilakukan melalui penjelasan argumentatif yang memuat proses penalaran dan penafsiran logis. Berdasarkan hasil penelitian dan analisa maka dapat disimpulkan bahwa
\npelaksanaan pengawasan di Inspektorat Kabupaten Bulungan dari dimensi produktivitas, kemampuan menyesuaikan diri dan kepuasan kerja. Dapat dikatakan 2 dimensi sudah cukup efektif yaitu dimensi produktivitas dan kepuasan kerja, sedangkan dimensi kemampuan menyesuaikan diri sudah efektif. Oleh karena itu untuk peningkatan efektivitas organisasi Inspektorat, disarankan agar menerapkan sistem peuilaian prestasi pegawai secara nyata, terbuka dan jujur, menerapkan sistem pemberian imbalan-hukuman, memanfaatkan standar pemeriksaan secara optimal dan menetapkan standar baku penyelesaian tindak lanjut hasil pemeriksaan, melakukan intervensi terhadap pengadaan pegawai terutarna PF A, menempatkan PF A sesuai kualifikasi dan spesialisasi bidang tugasnya, serta meningkatkan jalinan komunikasi dan arah diantara anggota-anggota organisasi.

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), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.410
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0020.003
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.001
Science and technology studies0.0060.001
Scholarly communication0.0020.001
Open science0.0040.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.1660.002

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 head0.008
GPT teacher head0.228
Teacher spread0.220 · 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 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
Published2017
Admission routes1
Has abstractyes

Explore more

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