Evaluation of Relationship between Social Support and Social Health of Tehran Citizens
Bibliographic record
Abstract
Social health is a concept that is created from relationship between two concepts of health and society. Since the society is a nominal concept and its external truth depends on everyone who has formed it, in evaluation of society, people of that should be evaluated and studied more than everything. In this regard the present research under the topic of “Evaluation of relationship between social support and social health of Tehran citizens” has been conducted among Tehran citizens in 2016. Social health was evaluated based on Keyes’s theories in five dimensions of social prosperity, social adaptation, social cohesion, social acceptance and social participation and also social support was evaluated based on researches of Wax et al. in three dimensions of friends support, family support and others support. Research methodology in this research is survey and technique of data collection is questionnaire. The questionnaires were distributed among 400 people of women who were selected as multi-stage cluster sampling, and because 15 of questionnaires were altered, approximately 385 were finally analyzed. The result was that social support is one of effective factors on social health; the obtained adjusted multiple coefficient of determination showed that the triple dimensions of social support (friends support, family support and others support) have been able to express approximately 58% of the social health variable.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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 | 0.007 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".