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Record W7008944887

Cost of Oregon Evictions Report (Updated)

2021· article· en· W7008944887 on OpenAlexaboutno aff

Bibliographic record

VenuePDXScholar (Portland State University) · 2021
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsnot available
Fundersnot available
KeywordsEvictionCensusRentingQuarter (Canadian coin)LeaseState (computer science)Household incomeNational Longitudinal SurveysDownstream (manufacturing)
DOInot available

Abstract

fetched live from OpenAlex

Earlier this year, PSU’s Homelessness Research & Action Collaborative used a calculator developed by the University of Arizona and estimates of how many renter households are at risk of eviction to evaluate the downstream community costs of evictions in Oregon during the pandemic. In light of the state eviction moratorium that is set to expire this month and the CDC moratorium that expires at the end of July, the center is once again looking at the number of households at risk of eviction and the downstream costs. The data gathered from emergency shelters, inpatient and emergency medical services, child welfare, and juvenile justice services remain the same. Wherever data were not readily available or did not appear to be tracked in Oregon, the center used national averages. The center did use a different metric to estimate those at risk of evictions. In the original study, the center calculated the downstream costs if rent arrears, or past due rent, would become due immediately, using an analysis of figures from the Census Household Pulse survey of social and economic impacts of the coronavirus. This time, given the expiration of the state eviction moratorium for renters, we analyzed system costs for renters who had little to no confidence in paying next month’s rent. This estimate, therefore, cannot be compared with the previous one. Approximately 59,400 Oregon households have no confidence in their ability to pay next month’s rent, according to the center’s analysis of the latest Census Household Pulse survey of social and economic impacts of the coronavirus. An additional 66,000 have slight confidence in their ability to pay rent for a total of 125,400 households at risk of eviction. We used our analysis to develop high and low estimates of the systemwide costs of displacement at this scale. It is unclear how many of these households will receive rent assistance in time to avoid eviction or how many will apply for assistance in time to qualify for the 60-day extension granted by the Oregon State Legislature to households awaiting assistance. Previous studies show that Black, Indigenous, and Other People of Color in Oregon face a higher risk of eviction. The Oregon Renters Survey conducted by Dr. Lisa K. Bates showed that BIPOC renters were disproportionately at risk of eviction during the pandemic. To calculate the statewide cost of these evictions moving forward, the center again used the Cost of Eviction Calculator developed by the Innovation for Justice program at University of Arizona College of Law. The calculator was created to show the aggregate community costs of eviction and promote systemic shifts toward eviction prevention. It allows users to input local data, use national figures, or refer to localized data from other jurisdictions. The calculator was built in Neota Logic, 2 and draws from Neil Steinkamp’s work analyzing the costs and benefits of providing a right to counsel in evictions. Using these sources — the estimates of households at risk of eviction (59,400 to 125,400 households), the calculator, and statewide health, shelter, child welfare, and juvenile justice data — the center estimates that Oregon might be forced to spend between $720 million and $4.7 billion to respond to displacement of this magnitude in the short term if additional eviction supports are not adopted (Pages 3–5). The estimate does not include how many people received or will receive rent support. Neither does it capture the downstream eviction costs from lost income, increase in public assistance, gaps in education, or the long-term impact to health, education, and earnings. It does not include the costs of building new shelters and creating new emergency support as a result of exceeding current system capacity. And it does not include costs associated with possible increased COVID transmission due to evictions. Several studies have linked higher rates of evictions to higher rates of transmission and deaths and a recent study shows that neighborhoods with the highest eviction filings have the lowest rates of COVID vaccination, which means residents will be more likely to contract and spread COVID. Considering these factors, the $720 million to $4.7 billion calculation is likely an underestimate.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.897
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.060
GPT teacher head0.364
Teacher spread0.304 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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