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Record W2426127564

Place-making with seniors:transforming affordable housing into home

2015· article· en· W2426127564 on OpenAlexaffabout
Mei Lan Fang, Ryan Woolrych, Caitlin O’Reilly, Sarah L. Canham, Judith Sixsmith, Andrew Sixsmith

Bibliographic record

VenueDiscovery Research Portal (University of Dundee) · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Aging, and Tourism Studies
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsAffordable housingAging in placeEvictionPopulationPopulation ageingBusinessEconomic growthGerontologyPolitical scienceEconomicsMedicineEnvironmental health
DOInot available

Abstract

fetched live from OpenAlex

Regeneration projects which re-house older people can potentially situate elderly residents in unstable, uncertain circumstances, which include residential eviction, loss of social support networks and access to health and wellbeing resources. Alongside this, the loss of the home as a place of safety and security can create psychological distress. Housing that is not only affordable but also supportive of the psychosocial needs of seniors is essential to the well-being of our ageing population, and this is particularly important in current times when Metro Vancouver is experiencing a significant increase in its older adult population during a period of rapidly rising market rents. This situation threatens housing adequacy for older citizens and places them at risk of isolation as well as social and societal disconnection and retrenchment from community life. Local and regional policy has advocated for affordable housing as a potential solution to provide stable, secure housing for those older people who are at risk of economic eviction. Yet the provision of affordable housing in its built form often overlooks the notion of sense-of-place, defined as the social, psychological and emotional bonds that people have with their environment. Using a community-based participatory research approach, this paper presents findings on how: (i) sense-of-place is experienced by older people relocating into an affordable housing development; (ii) lived experiences can inform the provision of effective formal and informal supports; and (iii) older people and other stakeholders can be located as active ‘place-makers’ in community planning and development.

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)0.002
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.160
Threshold uncertainty score0.932

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.002
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 head0.054
GPT teacher head0.330
Teacher spread0.276 · 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 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 routes2
Has abstractyes

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