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Record W7104286801 · doi:10.71781/2874

Vieillir en résidence privée pour aînés à Montréal : entre appropriation de l’espace résidentiel et adaptation aux changements

2025· dissertation· fr· W7104286801 on OpenAlexaboutno aff

Bibliographic record

VenueOpen MIND · 2025
Typedissertation
Languagefr
FieldHealth Professions
TopicAging, Elder Care, and Social Issues
Canadian institutionsnot available
Fundersnot available
KeywordsResidenceAppropriationZoningAdaptation (eye)CertificateControl (management)ConformityBuilt environment

Abstract

fetched live from OpenAlex

The market for private seniors' residences (RPAs) in Montreal is characterized by high demand. For the elderly, moving to this type of housing is a strategy for coping with various forms of vulnerability. The interaction between the person and his or her environment can be influenced by the latter. This environment can promote the inclusion, however it can also be disabling. With individual, economic and social changes affecting personal abilities and resources, the elderly person seeks, through this move, to reconstitute his or her zone of mastery, where he or she feels competent and in control of his or her environment. The architectural features of the residence should meet some of the health and safety needs of seniors, as they must conform to requirements to obtain a certificate of conformity and register as a private seniors' residence, but other design needs may be overlooked. In addition, the zoning regulations in the areas where these residences are located do not establish specific regulations for this type of accommodation. Then, the neighborhoods in which these residences are located are often changing, affecting seniors' living habits and their control over their environment. In this way, the environment can influence how the person interacts with it. It can promote inclusion, by taking into account the individual's abilities and responding to his or her needs, otherwise, it can contribute to the development of a process leading to exclusion. The aim of our research is to understand the contribution of this residential space to the person's adaptation to the changes and his or her sense of "home". We began by defining what onstitutes residential space, taking into consideration the three scales of the elderly person's environment: architectural, immediate to the residence and the neighborhood in which it is located. Using a mixed-methods approach, a survey was conducted to determine which architectural and urban attributes are important to the elderly in terms of their needs and expectations. Field observations were also carried out to assess the environment's response to seniors' needs. Through semi-structured interviews (n=31), we identified the factors behind this residential choice. We studied the strategies adopted by seniors to recreate a home after moving into seniors’ residence, and to avoid difficulties that arise with personal and environmental changes. The results revealed that security was required at both architectural and urban levels. In the residential area, needs are poorly met. Residences play a crucial role in the inclusion of seniors in their residential environment and in the creation of a sense of home. This role is reflected in the provision of an environment that enables autonomy, mobility and, consequently, social participation to be maintained as long as possible. However, this form of residential mobility is in favor of people who decide to move out at a very young age, around 65, but recreating home becomes difficult for people with loss of autonomy who can't take advantage of the quality/y of life provided by the RPA.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.117
Threshold uncertainty score0.236

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0040.004
Scholarly communication0.0050.003
Open science0.0020.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.000

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 head0.061
GPT teacher head0.408
Teacher spread0.347 · 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 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
Published2025
Admission routes1
Has abstractyes

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