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Record W2966367199 · doi:10.22329/csw.v18i1.5921

“I Didn’t Really Want to Leave”

2019· article· en· W2966367199 on OpenAlexvenueno aff
Molly W. Metzger, Jane E. Oliphant

Bibliographic record

VenueCritical Social Work · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicUrban, Neighborhood, and Segregation Studies
Canadian institutionsnot available
FundersNorthwestern University
KeywordsRelocationRedevelopmentAutonomyIncentivePublic housingFraming (construction)Public administrationBusinessSubsidized housingCoercion (linguistics)Public economicsPublic relationsPolitical scienceEconomicsLawMarket economy

Abstract

fetched live from OpenAlex

With the United States’ welfare state coming to rely on market-based policies, the notion of choice has come to the forefront of public housing policy. This study investigated choice within a Chicago public housing community slated for redevelopment. In theory, the utilization of the private market creates broader options, empowering citizens to exercise greater autonomy in major life decisions. The housing authority emphasized the choices available to tenants, including the choice to remain on-site during redevelopment. Yet relocatees reported experiencing pressure to relocate, through either explicit actions from housing authority officials or nuanced channels including steering and coercion tactics. The incongruence between the narratives presented by the housing authority and those presented by the public housing residents demonstrates that the distinction between “voluntary” and “involuntary” relocation is not always clear. We offer several areas for consideration moving forward, including substantive inclusion of residents in planning processes, development of a more effective incentive structure to reward public housing agencies for relocating residents into higher quality neighborhoods, and shifting the overall framing of subsidized housing residents from consumers to civic agents who hold the potential to shape the future directions of their communities.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.860
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.003

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 head0.032
GPT teacher head0.350
Teacher spread0.318 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2019
Admission routes1
Has abstractyes

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