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Record W2306846566 · doi:10.7202/1034917ar

Les enjeux de santé mentale chez les aînés gais et lesbiennes

2016· article· fr· W2306846566 on OpenAlexaffvenue
Julie Beauchamp, Line Chamberland

Bibliographic record

VenueSanté mentale au Québec · 2016
Typearticle
Languagefr
FieldHealth Professions
TopicAging, Elder Care, and Social Issues
Canadian institutionsThe Quebec Population Health Research NetworkUniversité du Québec à Montréal
Fundersnot available
KeywordsHumanitiesPsychologySociologyArt

Abstract

fetched live from OpenAlex

Most gay and lesbian elders have experienced discrimination and stigmatization related to their sexual orientation in their life trajectory. These negative experiences may have had an impact on their life course and on their mental health. Even if the majority of gay and lesbian older adults actually have and maintain good mental health, studies show that non-heterosexual people are at a greater risk of developing certain difficulties, such as anxiety, depression, suicidal thoughts and excessive consumption of alcohol and other substances. This article presents the factors that may weaken the mental health of older gay and lesbian people, such as victimization and the exposure to various forms of prejudice in their life course, the continuous management of the disclosure or dissimulation of their sexual orientation, the degree of internalized homophobia, as well as loneliness; and also presents the potential protective factors, such as building resilience, social networks and social support. This article concludes by illustrating the implications concerning the specific needs of the gay and lesbian elders. Some recommendations are also formulated with regards to recognizing the issues affecting gay and lesbian older adults as well as improving the services that are offered to them.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.289
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.002

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 head0.046
GPT teacher head0.385
Teacher spread0.339 · 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; both teacher heads agree on what is shown here.

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

Citations6
Published2016
Admission routes2
Has abstractyes

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