ORIENTASI POLITIK PEREMPUAN DALAM PEMILIHAN KEPALA \nDAERAH KOTA BANDAR LAMPUNG TAHUN 2015 \n(Studi Pada Kelurahan Kemiling Permai Kecamatan Kemiling)
Bibliographic record
Abstract
Penelitian ini merupakan penelitian deskriptif kuantitatif, dengan mengambil \nsampel yaitu masyarakat di Kelurahan Kemiling Permai Kecamatan Kemiling \nKota Bandar Lampung yang berjumlah 97 orang menggunakan rumus t-yamane. \nHasil penelitian ini menunjukkan bahwa berdasarkan aspek kognitif terbesar pada \nperempuan mengetahui Herman Hn adalah sosok pemimpin yang religius sebesar \n99,67% dan di bagian paling kecil pada peryataan perempuan mengetahui tidak \nsemua calon kepala daerah berasal dari birokrasi sebesar 79,7%. Pada aspek \nafektif paling besar dibagian pernyataan Perempuan senang untuk mengetahui \nlatar belakang calon Kepala Daerah Kota Bandar Lampung sebesar 99,8 % dan \naspek afektif paling kecil di bagian pernyataan perempuan senang mengikuti \npilihan politik ibu/kakak dalam pemilihan Kepala Daerah Kota Bandar Lampung \nsebesar 85%. Pada aspek evaluatif paling besar pada pernyataan perempuan setuju \ndengan pola pikir dan cara pandang organisasinya dalam menilai seorang \npemimpin sebesar 99,3% dan aspek evaluatif paling kecil pada pernyataan \nperempuan setuju bila pilihan politk keluarga lebih baik daripada mengikuti \npilihan politik sendiri sebesar 91,7%. Berdasarkan hasil ketiga aspek tersebut jika \ndibandingkan maka aspek afektif yang paling tinggi yaitu sebesar 99,8%. \nKata Kunci : Orientasi Politik Perempuan, Pemilihan Kepala Daerah \n \n \nABSTRAK BAHASA INGGRIS \n \nThe method used was verificative descriptive quantitative. The populations in this \nresearch were the womans of Subdistrict Kemiling Permai Kemiling Bandar \nLampung and 97 samples from womans of Subdistrict Kemiling Permai Kemiling \nBandar Lampung by the t-yamane formula. \nThe results of this study indicated that based on the cognitive aspects largest \nwomen know Herman Hn is a religious leader figure of 99.67% and in the very \nsmall to the statement that a woman knows that not all prospective head region \ncomes from the bureaucracy 79.7%. In most affective aspects statement section \nWomen happy to know the background of candidates for Regional Head of \nBandar Lampung at 99.8% and affective aspects of the smallest on the statement \nfollowing the political choices of women happy mother / sister in the election of \nRegional Head of Bandar Lampung by 85% , In most evaluative aspects of the \nwomen agreed with the statement mindsets and perspectives of the organization in \nassessing a leader at 99.3% and evaluative aspects of the smallest on the assertion \nof women agree that a better selection of family politics than following their own \npolitical choices by 91.7%. From 3 aspect, we know that is aspect affective is high \nthan cognitive and evaluative at 98,8%. \nKeywords: Women's Political Orientation, Regional Head Election
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.026 | 0.003 |
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".