Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Bisnis balap mobil Nascar seperti Indycar dan Formula 1 di Amerika Serikat pada tahun 90-anada di mana-mana mengalami kenaikan (rise). Namun seiring berjalannya waktu, industri balapmobil ini mengalami penurunan (fall). Studi ini bertujuan untuk mengetahui alasan penurunan(fall) dan kenaikan (rise) pada bisnis Nascar. Studi ini menggunakan studi kasus tunggal padabisnis Nascar yang bergerak di bidang otomotif dengan analisis business model canvas, businesspattern, business environment & value proposition canvas. Bisnis balap mobil pernah trenpertumbuhan dan sukses karena memiliki customer segments bisa dinikmati oleh khalayak secaraInternasional dan semua orang. Namun, bisnis balap mobil mengalami penurunan karena coststructure pengeluaran yang dikeluarkan sangat besar untuk maintance sirkuitnya. Studimerekomendasikan key partners menjalin relasi dengan berbagai pihak.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.084 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it