Neighbourhood attachment revisited: Middle-class families in the Montreal metropolitan region
Bibliographic record
Abstract
Migration, mobility, globalisation and individualisation have transformed the way people relate to space by affecting their physical, social and emotional bonds to place. Yet, does it mean that place attachment is due to wane and that the neighbourhood does not matter nowadays? The article is tackling this question by addressing the underexplored neighbourhood attachment and the residential choices of young middle-class families in Montreal Census Metropolitan Area. Empirical results are drawn from in-depth interviews with immigrant and non-immigrant households in a comparative perspective between a peri-urban and near-suburban neighbourhood in recent ethnic transition. We explore three types of neighbourhood attachment: physical and social as underlined in the literature, but we also suggest the importance of accounting for the symbolic dimension of neighbourhood attachment. Findings reveal how families display neighbourhood attachment through an extensive use of neighbourhood amenities (physical), embedded social ties (social) and distinctive lifestyles convergent with the representations of middle-class family life (symbolic). Unlike narratives of middle-classes’ place detachment and withdrawal from neighbourhood life, our case study of ‘middle’ middle-class neighbourhoods suggest that the neighbourhood preserves its importance, but that neighbourhood attachment takes different forms and that these forms differ among urban and suburban families. It is argued that what residents believe urban and suburban life should be and their values and identities associated with it needs further investigation, given their considerable role in neighbourhood attachment and residential choices of middle-classes families.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.013 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".