How Relations between Neighbors Are Changing in an Environment of Redevelopment: Housing Inequalities and a Sense of Injustice
Bibliographic record
Abstract
This article is based on the concept of material culture, which reveals the role of material objects in the social world. It shows how the urban environment changes the relationship between neighbors who share a common yard but live in housing of different types—in khrushchevki (the Soviet-era housing) or in new high-rise buildings. The article depicts a hierarchical material environment in the common space formed because of a municipal renovation program involving the gradual demolition of old housing and the redevelopment of the area with new dwellings. Material used in this article was collected in Moscow in 2019, through a case study of a yard shared by several building; the study involved interviews with 17 residents and concierges of the area and multiple observation sessions.The article shows that the long-pending demolition of a khrushchevka and the destruction of the common yard space caused conflict and resulted in hierarchical courtyard materiality and housing inequalities. This created a perception of the khrushchevka residents as a “stigmatized” group and strained their relationships with neighbors in the new buildings. The hierarchical housing environment as a structural materiality forms and maintains multidimensional aspects of housing inequalities—spatial, social class–based, and symbolic dimensions.As interpretative and analytical framework, the article uses Wendy Bottero’s notion of the sense of inequality, which is understood as an emotion that develops from hierarchical relationships. On the basis of the empirical date, this article elaborates on Bottero’s idea and explains why, in this situation, it is more appropriate to call this social emotion “a sense of injustice,” referencing society’s ideas about what is proper. Therefore, structural housing inequality is a condition for the emergence of an intersubjective sense of injustice as a social consequence of this situation. Article in English
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.018 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| 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".