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Record W1995079556 · doi:10.1068/a35205

Homeless Mobility, Institutional Settings, and the New Poverty Management

2003· article· en· W1995079556 on OpenAlexaff
Geoffrey DeVerteuil

Bibliographic record

VenueEnvironment and Planning A Economy and Space · 2003
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsPovertyTypologyRestructuringSample (material)Demographic economicsPolitical scienceSocioeconomicsEconomic growthGeographySociologyEconomics

Abstract

fetched live from OpenAlex

Poverty management involves organized responses by elites and/or the state to contain potentially disruptive populations. As a result of global, national, and institutional compressions, the new poverty management tends to circulate these populations, especially the mentally disabled, across an array of unrelated and frequently institutional settings. This restructuring of interactions between mobility and institutional settings, in the form of institutionalized cycling, has yet to be investigated for other potentially vulnerable groups, such as single homeless women. Using a convenience sample of twenty-five women at a shelter in Central Los Angeles, I seek to understand their residential patterns, identify evidence of institutionalized cycling through a fivefold typology, and to elucidate the personal and structural factors behind why some women were prone to institutionalized cycling whereas others were not. Results point to highly uneven evidence of institutionalized cycling across the sample, with the most obvious impacts in the institutional cycler and institutionally accommodated categories.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.776
Threshold uncertainty score0.642

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.019
GPT teacher head0.287
Teacher spread0.268 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations92
Published2003
Admission routes1
Has abstractyes

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