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Record W4308341441 · doi:10.1177/0308518x221135006

Broadening equitable planning: Understanding indirect displacement through seniors’ experiences in a resurgent Downtown Detroit

2022· article· en· W4308341441 on OpenAlexafffund
Julie Mah

Bibliographic record

VenueEnvironment and Planning A Economy and Space · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicUrbanization and City Planning
Canadian institutionsThe Scarborough HospitalUniversity of Toronto
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsConceptualizationDisplacement (psychology)DowntownRelocationRedevelopmentSociologyGentrificationPolitical scienceSocial psychologyPsychologyEconomic growthGeographyEconomicsComputer science

Abstract

fetched live from OpenAlex

Displacement is most commonly conceptualized as forced relocation or dislocation due to physical or economic reasons. However, this conceptualization reduces displacement to a simple spatial moment in time and overlooks indirect forms of displacement. Yet, indirect displacement holds serious implications for equitable planning initiatives that seek ‘revitalization without displacement’, as these initiatives tend to only address physical dislocation. Incorporating a better understanding of the different dimensions of displacement will help inform equitable development efforts that are more inclusive and just. This research uses Detroit as a case study to examine senior tenant experiences of indirect displacement in a rapidly gentrifying downtown. These ‘perspectives from below’ help shed light on the redevelopment impacts on seniors, which could then be concretely incorporated in community planning approaches. Based on in-depth qualitative interviews and participant observation, the findings illustrate the material ways in which seniors have experienced indirect displacement through feelings of exclusion and non-belonging, diminishing social space, and fears of direct displacement – all of which contribute to an on-going loss of sense of place. These experiences suggest a diminishing ability to create place for some, which reduces their ability to assert their right to the city. The paper concludes by considering how an intersectional approach to understanding displacement could help strengthen equitable planning approaches.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.463
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.061
GPT teacher head0.273
Teacher spread0.212 · 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 designQualitative
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

Citations6
Published2022
Admission routes2
Has abstractyes

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