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Record W2530073900 · doi:10.20381/ruor-6010

Negotiating the Margins: Aging, Women and Homelessness in Ottawa

2012· dissertation· en· W2530073900 on OpenAlexaboutno aff
Laura Shantz

Bibliographic record

VenueuO Research (University of Ottawa) · 2012
Typedissertation
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsnot available
Fundersnot available
KeywordsNegotiationGender studiesSociologyPolitical scienceGerontologyMedicineSocial science

Abstract

fetched live from OpenAlex

As the population ages and income disparities increase, issues affecting older adults and marginalized individuals are examined more frequently. Despite this, little attention is paid to the community experiences of women over the age of fifty who face marginalization, criminalization and homelessness. This study is an institutional ethnography of older marginalized women in Ottawa, focusing on their identities, lives and their experiences of community life. Its findings are based on ethnographic fieldwork as well as interviews with 27 older marginalized women and 16 professionals working with this group. The women described their identities, social networks, daily activities and navigations of their communities as well as the policy and discursive framework in which their lives are situated. Regardless of whether the women had housing or were staying in shelters, upheaval, uncertainty and change characterized their experiences in the community, reflecting their current circumstances, but also their life courses. Their accounts also revealed how, through social support, community services, and personal resilience, older marginalized women negotiate daily life and find places and spaces for themselves in their communities. As an institutional ethnography, this research foregrounds participants’ responses, framing these with theoretical lenses examining mobilities, identity, social capital, governmentality, and stigma. Specifically, it uses the lenses of mobilities and identities to understand the nature of their community experiences, before moving outward to examine their social networks and the world around them. Governmentality theory is also used to describe the neoliberal context framing their community experiences. The study concludes with a reflection on the research and a set of policy recommendations arising from the study.

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)0.004
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.190
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
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 head0.067
GPT teacher head0.410
Teacher spread0.343 · 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

Citations2
Published2012
Admission routes1
Has abstractyes

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