Social connections to neighbors and NIMBYism among public housing residents in Seoul
Bibliographic record
Abstract
The study examines whether and how transitions into and out of social connections with neighbors have asymmetric effects on residents' attitudes toward the siting of locally unwanted land uses-commonly referred to as "Not In My Backyard" (NIMBY) responses. These facilities, like special schools or public housing, may benefit society, but are often opposed locally due to perceived harms. We used data from the Seoul Public Rental Housing Panel Survey (N = 6317). An asymmetric fixed effects model was employed to separately estimate the associations for transitioning into and out of social connections to neighbors. Additionally, gender-stratified models were used to examine whether the asymmetric effects of these transitions differ by gender. Transitioning out of social connection to neighbors is associated with an increase in NIMBYism (b = 0.149), which was larger than the decrease observed when transitioning into social connections to neighbors (b = -0.064). These effects were more pronounced for women than for men. Policymakers should consider initiatives that strengthen community bonds as a strategy to reduce NIMBYism and promote inclusive neighborhood planning.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".