Bibliographic record
Abstract
Purpose: This study aims to identify the comparison of responsibility and willingness to marriage in the student of Azad University.Method: The sampling method is available purposeful.Descriptive statistical tests such as mean, variance, and standard deviation are used to analyze data, according to the title of the study and research method for investigating the hypothesis.Multivariate analysis of variance MANOVA,correlation coefficient, and multiple regression were used in the level of the analytical test.On the other hand, correlation and regression analysis were usedaccording to the role of variables to explain the variance.The number of the samplesare 145 people of male and female students of Islamic Azad University which was obtained using Morgan and krejcie tables.Walkerlifestyle questionnaire was used in order to collect data.C subscale and long neoform questionnaire for responsibility and questionnaire of willing to marry were used.The results of the present study showed thatgiven that a significant area of the variable of gender is equal to 0.43 and more than 5% of the error level, thus, the null hypothesis is not rejected.This means that there is no significant difference between thewillingness to marriage, responsibility, and lifestyle of the male and female students.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.866 | 0.749 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".