The Culture of Familial Dialogue according to some variables A Field Study on Families in Jableh
Bibliographic record
Abstract
Dialogue culture is considered an urgent necessity in the shade of what the Arab communities witnessed in the last times concerning the spreading of chauvinism and the refusal of admitting others. Acquiring this culture starts from the family and through the dialogue among its members. This will enable those members, in the future, of making a dialogue with the other and having an openness in dealing with him/her. Therefore, this current research discusses the culture of familial dialogue. It also shows the relation of some variables because of the family members' having the skills of listening and speaking. Two questionnaires were designed to achieve the goals of the study. One of those questionnaires was directed to the children and the other one was directed to the parents. Moreover, those questionnaires were applied on a sample of some families living in a residential quarter in Jableh known as Western Jbeibat. The number of the families involved in the study was 384. One of the most important results, which were found, was the weak positive relation between the level of education of the parents with the family members' having the skills of listening and speaking. This relation is of a statistical indication. These results also signified the existence of aweak positive relation, which was of a statistical indication, between the economic level of the family and the members' having the above-mentioned skills.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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 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".