Media Sosial Dalam Pembentukan Personal Branding (Studi Pada Instagram Alberta Claudia)
Bibliographic record
Abstract
Penelitian ini berjudul Media Sosial dalam Pembentukan Personal Branding (Studi pada Akun Instagram Alberta Claudia). Tujuan penelitian ini adalah untuk mengetahui bagaimana media sosial dalam pembentukan personal branding. Penelitian ini menggunakan metode penelitian kualitatif dengan pendekatan studi kasus. Penelitian menggunakan metode wawancara dengan 2 narasumber yang merupakan follower instagram Alberta Claudia. Data penelitian yang diperoleh bersumber dari wawancara dan juga studi pustaka. Teori yang digunakan dalam penelitian adalah konsep pembentukan personal branding menurut Montoya. Montoya menyimpulkan ada beberapa konsep pembentukan personal branding yaitu spesialisasi, kepribadian, perbedaan, dan terlihat.Kesimpulan dari penelitian ini adalah personal branding yang dibentuk oleh Alberta Claudia sesuai dengan konsep pembentukan personal branding menurut Montoya.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.025 | 0.002 |
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.
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".