Voices of Cully: Experiencing the home amid gentrification
Bibliographic record
Abstract
The Cully neighborhood is situated in the northeast quadrant of Portland, Oregon. It is a 2.75-square-mile plot of land and home to roughly 13,000 people. In addition to being one of the most diverse neighborhoods in Portland, it is the most densely populated, with the smallest amount of parkland per capita. Over the past two decades, home value has increased 203 percent in Cully, compared to a 90 percent citywide increase. We interviewed residents of the Cully neighborhood to explore their relationship to home amidst conditions of gentrification. Gentrification literature and mainstream media coverage most often focus on neighborhood-scale socioeconomic processes of gentrification, ignoring the home as the space where gentrification is experienced first and most intimately. This article takes steps toward analyzing the scalar impacts of gentrification, moving beyond and below a neighborhood-scale analysis to consider the ways in which gentrification impacts residents inside their homes -- homes which, we argue, can take on both sanctuary and imprisoning qualities. Just as gentrification will look different depending on researchers' and/or policymakers' conceptualizations, so too will anti-gentrification interventions. Developing place-specific anti-gentrification solutions entails listening to the voices of experience, the voices of residents.
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 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.017 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".