Development of New Normal Administration Model According to Good Governance Principles of Schools under Sakon Nakhon Primary Education Service Area Offices in Sakon Nakhon Province
Bibliographic record
Abstract
The objectives of research were to develop the new normal administration model according to the principles of good governance for schools under the Office of Primary Educational Service Area in Sakon Nakhon Province. The findings were as follows: I) Components of new normal administration for schools, consisting of 8 components: 1) New Normal Administration Planning 2) New Normal Working Method 3) New Normal Learning Curriculum Administration 4) New Normal Learning Administration 5) New Normal Learning Evaluation 6) New Normal Learning Resource Administration 7) New Normal Collaboration, and 8) Safety. Overall, it is at the most suitable level–the possibility at a high level. II) The new normal administration model consists of 5 components: 1) principles 2) objectives 3) structure 4) administration process and 5) mechanism. As for the components of the administration process, there are 8 sub-components, namely 1) New Normal Learning Resource Administration 2) New Normal Learning Administration 3) New Normal Learning Curriculum Administration 4) New Normal Learning Evaluation 5) New Normal Cooperation 6) New Normal Working Methods 7) Safety, and 8) New Normal Administration Planning. Four external factors affect the administration, including: 1) economic 2) technology, 3) social, and 4) political. III) Every component of the model is suitability possibilities and usefulness is at the highest level. IV) The manual for using the model consists of 3 components: 1) an explanation, 2) an introduction that presents details about the background, importance, objectives, and expected benefits, and 3) details of the model with the results of suitability at the highest level.
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How this classification was reachedexpand
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".