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Record W2171538120 · doi:10.1017/s0714980810000164

Cheminements et situations de vie des personnes âgées présentant des troubles mentaux graves : perspectives d’intervenants psychosociaux

2010· article· en· W2171538120 on OpenAlexaff
Bernadette Dallaire, Michael McCubbin, Mélanie Provost, Normand Carpentier, Michèle Clément

Bibliographic record

VenueCanadian Journal on Aging / La Revue canadienne du vieillissement · 2010
Typearticle
Languageen
FieldHealth Professions
TopicAging, Elder Care, and Social Issues
Canadian institutionsInstitut Universitaire de Gériatrie de MontréalUniversité de MontréalCentre de Santé et de Services Sociaux de la Vieille-CapitaleUniversité Laval
Fundersnot available
KeywordsPsychosocialPsychologyMental illnessInstitutionalisationGerontologyPsychiatryMental healthMedicine

Abstract

fetched live from OpenAlex

Services for elders with severe mental illness (SMI) have major deficiencies, among them a lack of adequate psychosocial services. Some analysts have attributed this situation to "double stigmatization" targeting both ageing and mental illness in our societies. Using qualitative methods (23 semi-directed interviews, theme-based content analysis), our exploratory research aims to understand better the perceptions of psychosocial practitioners working in community and institutional settings about the elderly with SMI and their living situations. Our informants evoke living situations marked by a lack of support (isolation), of resources (financial precariousness/poverty) and of power (learned passivity), traits that are related not only to mental illness per se, but also to long term psychiatric institutionalization. For them, the current situation of elders with SMI is the end product of biographies in which life-course, illness-course and life in services and/or institutions join and, sometimes, become indistinguishable. Implications for psychosocial practices are discussed.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.815
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.031
GPT teacher head0.340
Teacher spread0.310 · 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

Citations8
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Journal on Aging / La Revue canadienne du vieillissementSame topicAging, Elder Care, and Social IssuesFrench-language works237,207