The Multidimensional Nature of Social Cohesion: Psychological Sense of Community, Attraction, and Neighboring
Bibliographic record
Abstract
Items from the Neighborhood Cohesion Instrument were completed by 1,732 individuals from a random sample of households in 20 rural communities across Canada during the summer of 2001. Confirmatory factor analysis of the NCI items based on polychoric correlations and weighted least squares estimation found three underlying latent variables. Although items were related to the three latent variables in a somewhat different manner than they were in Buckner's original study, the same three latent variables were evident, providing convincing evidence that social cohesion has at least three subscales: psychological sense of community, neighboring, and attraction. Correlations between subscales were relatively high (between .67 and .87). Intraclass correlation coefficients for the three scales were .115, .127, and .112. In addition, the community means differed on different subscales in a manner that related to recognized characteristics of the communities. Thus the subscales are appropriate measures for both individuals and communities and can be recommended for further research on social cohesion.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".