Relationships between personal, environmental, organisational factors and citizen participation in neighborhood council Tehran, Iran
Bibliographic record
Abstract
The study was designed to determine the relationship between personal,environmental and organizational factors and citizen participation in neighborhood councils in Tehran, Iran. Citizen participation play a relevant role in many community settings, but the major puzzle was the lack of resident participation which threatened potential success of efforts at the local level. A conceptual model was developed to identify relationships between personal, environmental and organizational factors that contribute to citizen participation. Each of the factors included several variables. In order to achieve the goals of study, a cross sectional survey design was applied and the data were gathered through personal interviews using a set of questionnaires. The data were collected from 250 respondents which were randomly selected from five neighborhood councils in Iran. Descriptive analysis,Pearson product moment correlation and structural equation modeling (SEM) were employed for analyzing the data. The findings of descriptive study showed that the majority of the respondents were female (57.2%) and single (60.8%). Mean of the respondent‘s age was 36 years and the average total monthly income was 3.5 million Rials per month. The study showed that 43.6% of respondents had completed or obtained a bachelor‘s degree. More than three quarter (64%) of respondents had a job, while 35.2% of respondents were unemployed. The average duration of participation in neighborhood councils was two years and four months. Only 41.6% of respondents stated their position as active participants in neighborhood councils. The most important residents‘ sources of knowledge on neighborhood council activities were through their friends/neighbors (48.8%). The study also showed that the level of citizen participation in neighborhood councils was moderate; however, citizens preferred greater involvement in social and environmental rather than economicalactivities. Pearson‘s correlation analysis showed that there was a high positive correlation between perceived knowledge, organizing skills and sense of community with citizen participation; while there was a medium positive correlation between selfefficacy, perceived trust, organizational factors and norms for activism with citizen participation; and finally there was a small and positive correlation between neighborhood problems and citizen participation. The results of hypotheses testing with the structural model showed strong relationships between perceived knowledge, organizing skill, perceived trust, and sense of community and citizen participation. The results of the overall model showed that there were no significant relationship between self efficacy, perceived neighborhood problems and organizational factors. The result also showed that norms for activism cannot mediate between sense of community and citizen participation. Based on the structural equation model the between individual factors, perceived knowledge and between environmental factors sense of community had the most significant contribution in predicting citizen participation. The results of this study also provided some theoretical and practical implications on citizen participation in neighborhood councils. The study recommends social cognitive theory is appropriate to explain factors influencing citizen participation. Several recommendations for improvement with respect to policy and practices of neighborhood council to increase citizen participation are suggested.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| 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; both teacher heads 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".