Transforming Values into Behaviors: A Study on the Application of Values Education to Families in Turkey
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
<p>No matter what century we live in, even though the tools we use change from age to age, man is not a creature who can be considered or understood without the concept of values. Although we have different religions, languages, races and cultures, the personality of man is always constructed through values. Values are factors that directly influences human life and society in a positive or negative way. This study suggests that values education aimed at teaching individuals certain values is not sufficiently practiced by families in Turkey. In order to address the problem, this study aimed to increase the awareness of family members regarding values and help them turn values into behavior in everyday life. To this end, a 24-month “values education program” involving a set of activities was carried out. Every month, a specific value was chosen taking into account the needs of family members and “value booklets” were prepared using four sub-dimensions of the chosen value. 10 families participated in the program and the data was collected from 25 individuals. The resulting data was subjected to content analysis. 3 main themes were found to be important in the light of the data: moral development, development of communication skills, and religiousness. These themes were thought to be beneficial in terms of understanding the effectiveness and importance of family members’ internalizing values and turning them into behavior in everyday life.<strong></strong></p>
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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 | 0.002 | 0.001 |
| 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