Assessment of Processes and Resources for Knowledge of Skills of a Chemistry Laboratory at the Senior High School of Ternate Island
Bibliographic record
Abstract
This article discusses the influence of learning support processes and resources in the knowledge of ChemicalLaboratory skills of high school students in Ternate Island. The learning process of chemistry in high schoolespecially on laboratory, related to time/schedule allocation, practical purpose and achievement indicator in skill areabecome the focus of discussion on this aspect. While the supporting resources of learning, more emphasized onaspects of facilities and infrastructure such as the availability of educators, laboratory buildings, tools and chemicalsthat are based on the value of accreditation Senior High School in Ternate Island. in this study using 3 methods ofcollecting data such as survey techniques in schools, interview with teachers in schools and tests students' lab skills.The results showed that the knowledge of high school students' lab skills on Ternate Island is getting higher inschools with better accreditation. Skill Knowledge of High School Students in Ternate Island is still in the lowcategory on the glass organizing aspect at the laboratory.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".