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Record W4200108069 · doi:10.31219/osf.io/5xkjh

Analisis Likes to Subscriber Ratio Youtube Pada 5 Brand Sepatu Terkenal di Dunia

2021· preprint· id· W4200108069 on OpenAlexaff
Made Irvan Sastra Abenk

Bibliographic record

Venuenot available
Typepreprint
Languageid
FieldSocial Sciences
TopicSMEs Development and Digital Marketing
Canadian institutionsAdidas (Canada)
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

YouTube adalah sebuah situs web berbagi video yang dibuat oleh tiga mantan karyawan Paypal, yaitu Steve Chen, Chad Hurley dan Jawed Karim pada Februari 2005. Situs web ini memungkinkan pengguna mengunggah, menonton, dan berbagi video. Video pertama yang diunggah di situs ini berjudul "Me at the zoo" yang menayangkan salah satu pendiri YouTube saat berada di Kebun binatang San Diego. YouTube juga menjadi salah satu aplikasi media sosial terbesar yang sering digunakan untuk melakukan pemasaran suatu barang oleh brand ternama. Adapun 5 brand sepatu terkenal di dunia yang sudah memanfaatkan Youtube sebagai media pemasaran, yaitu : Vans, Adidas, Nike, New Balance, dan Converse. Penelitian ini memiliki tujuan yaitu untuk menghitung kredibilitas dari akun YouTube 5 Brand Sepatu Terkenal di Dunia. Metode yang digunakan untuk penelitian ini yaitu metode eksploratif kuantitatif. Hasil dari penelitian ini menunjukkan bahwa brand sepatu New Balance mendapatkan peringkat pertama dan memiliki kredibilitas performa akun yang terbaik.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.346
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0040.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.025
GPT teacher head0.278
Teacher spread0.252 · 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 teacher head, not a consensus.

Study designObservational
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
Published2021
Admission routes1
Has abstractyes

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