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Record W7162080659 · doi:10.82308/46457

Oscillating in and out of place across housed-homeless trajectories: Experiences of newly homeless older adults in Montreal, Quebec

2015· dissertation· en· W7162080659 on OpenAlexaboutno aff
Victoria Burns

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsnot available
Fundersnot available
KeywordsFeelingContext (archaeology)Grounded theoryAging in placeDisplacement (psychology)Qualitative researchPlace attachmentInterpersonal communication

Abstract

fetched live from OpenAlex

While aging in place research has burgeoned over the past few decades, scant research has examined experiences of older adults who are becoming homeless for the first time. Drawing on the geographic concept of place, defined as a dynamic, politicized, meaningful location, constructivist grounded theory methodology, observations, document analysis and in-depth interviews with 15 newly homeless older adults (NHOAs) and their service providers, this study explored pathways into homelessness, experiences during homelessness, intersections of age and homelessness, and strategies to mitigate against challenges with place and displacement across housed-homeless trajectories.Findings revealed that displacement into homelessness was experienced as a dynamic, dual process of oscillating in and out of place across housed-homeless trajectories. Both pre-homeless housing and homeless shelters could be experienced as positive or negative places. When the interaction of persons and places fostered control, comfort, privacy, and security NHOAs tended to oscillate towards feeling more in place. Conversely when the interaction between persons and places resulted in feeling insecure, fearful, impersonal, and dependent participants tended to oscillate out of place. Personal histories, gender, age, interpersonal relations, economic and housing conditions, and the broader socio-political context worked together to affect whether the conditions necessary for feeling in place could be experienced while housed and during homelessness. Importantly, despite facing a number of constraints at personal and structural levels, participants engaged in strategies to feel more in place both while housed and during homelessness.Further analysis of pre-homeless experiences revealed two different pathways of displacement into homelessness: gradual and rapid. Participants with gradual pathways tended to feel out of place for longer periods of time due to precarious personal and housing histories. On the other hand, those with rapid pathways led more conventional lives, benefiting from stable personal and housing histories that fostered a greater sense of control, comfort, privacy, and security. For those with rapid pathways, the main tipping points tended to be more acute and occurred later in life. Regardless of the pathway, participants experienced homelessness as a shock, and feeling in place while homeless was difficult, if not impossible due to constraining shelter conditions that reinforced feeling out of place. However, aspects of shelter life including having one’s material needs met, and building positive relationships with shelter residents and staff also protected participants from feeling consistently out of place during homelessness. By highlighting two different pathways of displacement into homelessness and the dynamic process of oscillating in and out of place across housed-homeless trajectories, this thesis makes an important contribution to the aging, place, and homelessness literature. Recommendations are made to prevent first time homelessness in later life and for shelter operators and policy makers to consider to better meet the unique needs of this vulnerable yet resilient group of older adults.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.030
Threshold uncertainty score0.214

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0110.005
Scholarly communication0.0030.001
Open science0.0020.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.029
GPT teacher head0.402
Teacher spread0.372 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

Citations0
Published2015
Admission routes1
Has abstractyes

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