Bibliographic record
Abstract
Masyarakat di wilayah perbatasan tidak hanya diperhadapkan dengan isu eksploitasi ekonomi dan sumber alam namun juga terjadinya kesenjangan sosial karena tidak meratanya pembangunan. Adanya kecenderungan bahwa ketika kelompok lain tidak kompatibel, beda ideologi atau pilihan politik maka respon sosial cenderung negatif, berprasangka jahat (prejudice) bahkan tindakan anarkis. Penelitian ini adalah penelitian deskriptif fenomenologis dengan mengkaji fenomena faktual masyarakat multikultural Kabupaten Sintang di wilayah Sektor Timur Kalimantan Barat. Data dianalisis mengunakan kajian pustaka. Output riset ini adalah memberi kontribusi pemikiran untuk menggali keberagaman dan keunggulan sekolah dasar di daerah pedalaman.Kata kunci: pendidikan multikultural, keragaman, sekolah dasar, wilayahpedalaman.
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 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.041 | 0.005 |
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".