Implementation of Guidelines And Counseling Services in Managing Student Discipline in SDN 2 Jogomertan
Bibliographic record
Abstract
This article aims to describe, 1) Discipline program planning through guidance and counseling services at SDN 2 Jogomertan, 2) Implementation of disciplinary programs through guidance and counseling services at SDN 2 Jogomertan, 3) Evaluation of discipline programs through guidance and counseling services at SDN 2 Jogomertan . This research is a descriptive study with the object of 1 school principal, 10 teachers and employees, and 10 students in grades 4, 5, and 6. The data analysis technique uses a qualitative descriptive approach. The results of the study, 1) Program planning is poured in a plenary meeting with all student guardians, parents' group meetings of each class, and school routine meetings, 2) Planting student discipline including coming to school on time, literacy before starting learning, discipline in doing homework, discipline to maintain environmental cleanliness, and regular prayer in congregation. 3) Evaluation of disciplinary programs is carried out at every report on program implementation (in the form of program reports, evaluation reports and follow-up to program implementation)
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".