A Study on the Relationship between Awareness of Gender Equality and Practice of Housing Education Contents in University Students
Bibliographic record
Abstract
The purpose of this study was to investigate the relationship between the awareness of gender equality and practice of housing education contents in Technology Home Economics Subject of university students. Subjects were 488 university students located in JunBuk province. In this statistical analysis, SPSS 11.5 for Windows program was utilized to analyze frequency, t-test, one-way Anova, Duncan test, Ward's method, Pearson's correlation coefficient. The results of this study were follow: First, the university student's gender equality appeared a little above the middle level. Female student's gender equality was higher than male. Second, the university students' practice of housing education contents appeared at the middle level. Male students appeared to be higher than female at 'support and repair of housing' unit. Third, the higher university students have awareness of gender equality, the better they practice of housing education contents. Group one recording where the gender equality is high 'Living quarter application', 'Indoor environment and equipments' units the practice of housing education contents was high. Forth, correlation of variables differed significantly between university students' practice of housing education contents and the awareness of gender equality. As a conclusion, university students' awareness of gender equality play an important role in practice of housing education contents in their real life. These results should be provide fundamental information for improving of housing education contents in Technology Home Economics Subject.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".