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Record W3148500343 · doi:10.20381/ruor-23469

The Marginal Public: Marginality, Publicness, and Heterotopia in the Space of the City

2019· dissertation· en· W3148500343 on OpenAlexaboutno aff
Yvonne Wallace

Bibliographic record

VenueuO Research (University of Ottawa) · 2019
Typedissertation
Languageen
FieldSocial Sciences
TopicLatin American Urban Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHeterotopia (medicine)Public spaceSociologyGeographyGender studiesArchitectural engineeringMedicineEngineering

Abstract

fetched live from OpenAlex

This thesis explores the experiences of an urban population who are considered to exist at the social margins of society, but who paradoxically spend much of their time in urban public space. Often referred to as ‘street people,’ the issues they face, such as homelessness and drug addiction, become public issues. In this thesis, I introduce and develop the concept of the marginal public to refer to this population, exploring their experience of the city not through the lens of their marginalization but through their relationship to the spatial and social realms of urban life. I explore the ways in which the marginal public, through their visibility and presence in the city, are not marginal to urban life but deeply embedded in it. Their marginality is lived simultaneously yet in contestation with dominant ways of being. This manifests in the marginal public’s relationship to others in the city, as well as through debates about the placing of facilities that serve them which I explore through the unsanctioned supervised consumption site of Overdose Prevention Ottawa (OPO). Finally, through the concept of heterotopia, I explore the margins as places of otherness as well as possibility.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.300
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.003
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.001
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 head0.079
GPT teacher head0.359
Teacher spread0.280 · 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 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
Published2019
Admission routes1
Has abstractyes

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