STANDAR SARANA PRASARANA LABORATORIUM IPA SEKOLAH MENENGAH ATAS DI WILAYAH BOGOR
Bibliographic record
Abstract
ABSTRACTFacilitation in education is something that can support teaching learning process at school. Laboratory is one of the important facilitation because the lab is a place where students can practice their skill through demonstration, experiment, and development of knowledge. The aim of this research is to know the availability of science laboratories in public high school and private high school in Bogor and compared it with minister regulation No. 24 year 2007. Descriptive method is used in this research with five schools chosen randomly as sample. Data collection techniques used in this research is observation and interview. The result of the finding shows that judging from five schools that has been observed which are SMA Al-Nur, SMA PGRI 4, SMAN 7, SMAN 4 and SMA PGRI 4 they are all not qualified with the minister regulation No.24 year 2007 about standard issue facilitation of high school laboratory which requires 2.4 m2 wide per student.Keyword: Senior High School, Laboratories, Facilitation
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 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.037 | 0.010 |
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".