A Documentary Analysis of the Government’s Circulars on Positive Behavior Enhancement Strategies
Bibliographic record
Abstract
This paper analyses the concept of positive behavior and strategies for promoting positive behavior in a country that has a centralized educational system, namely Malaysia. The analysis covers 91 circulars (official government documents) that were distributed to schools over a period of 40 years (from 1969 to 2011). The analysis uses a content analysis approach. The results suggest that the concept of positive behavior revolves around discipline and obedience. The term ‘good discipline’ is frequently used referring to the concept of positive behavior. Perpetration, aggressive and gang behavior are considered to be negative. The Government has tended to emphasize in promoting discipline and positive behavior: (1) strategies for bonding social capital and bridging social capital, and (2) discouraging negative behaviors using punitive approach, positive and negative reinforcement. This paper proposes the framework for promoting positive behavior and the implications for classroom management.
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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 | 0.000 | 0.000 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".