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
Produk reksa dana (mutual fund) akhir-akhir ini mendapat cukup banyak perhatian dengan perkembangannya yang fenomenal khususnya dalam 12 bulan terakhir2 . Perkembangan fenomenal ini tercermin dari peningkatan jumlah nasabah (pemegang unit penyertaan reksa dana), dana kelolaan, dan produk reksa dana yang beredar di pasar3 . Sampai dengan bulan Desember 2002, jumlah account investor reksa dana tercatat sebesar 125.820 account (143,2%, y-o-y), sementara dana kelolaan secara tahunan melonjak 252,8% menjadi Rp56,1 triliun. Rasio dana kelolaan terhadap DPK meningkat tajam, dari hanya 2% di awal tahun 2002 menjadi 7% pada bulan Desember 20024 . Sementara itu, dari 4 jenis reksa dana yang ditawarkan ke pasar5 , saat ini terdapat 131 macam produk dari hanya 25 macam produk pada awal reksa dana diperkenalkan di tahun 1996.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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