The Application of a Strength-Based Approach of Students' Behaviours to the Development of a Character Education Curriculum for Elementary and Secondary Schools
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Character education programs have gained increasing interest in the past decade and are designed to produce students who are thoughtful , ethical, morally responsible, community oriented, and self-disciplined. However, curriculums to develop character education programs have not always been readily embraced by either educators or students. Character is diffuse, abstract, and global and is not easily operationalized into lesson plans. Personal strengths of students, on the other hand, are important aspects of character that have the added advantage of being concrete, specific, and experiential. In this paper, it is argued that by developing a curriculum of character education that is based upon students' strengths in multiple domains of functioning, it is possible to achieve the goals of character education.
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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 | 0.000 |
| 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) | 0.000 | 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 it