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Social Justice and Social Determinants of Health: Lesbian, Gay, Bisexual, Transgendered, Intersexed, and Queer Youth in Canada

2010· article· en· W2131864079 on OpenAlexaffabout
Deborah Dysart‐Gale

Bibliographic record

VenueJournal of Child and Adolescent Psychiatric Nursing · 2010
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsConcordia University
Fundersnot available
KeywordsQueerLesbianTransgenderLegislationGender studiesSociologyFace (sociological concept)HomosexualityPolitical scienceCriminologySocial scienceLaw

Abstract

fetched live from OpenAlex

TOPIC: While nurses address lesbian, gay, bisexual, transgendered, intersexed, and queer (henceforth LGBTIQ) patients' health needs, the professional nursing practice value of social justice provides a larger role for nurses in identifying and minimizing social barriers faced by LGBTIQ patients. PURPOSE: This paper examines the social and health-related experiences of LGBTIQ youth in Canada, a country which has removed many of the social and legal barriers faced by LGBTIQ in countries such as the United States. An awareness of the Canadian LGBTIQ experience is instructive for nurses in different countries, as it reveals both the possibilities and limitations of social legislation that is more inclusive of LGBTIQ youth. SOURCES: Review of literature in PubMed, Academic Search Premier, government documents. CONCLUSION: The literature reveals that exclusion, isolation, and fear remain realities for Canadian LGBTIQ adolescents. The Canadian experience suggests that negative social attitudes toward LGBTIQ persist despite progressive legislation. The value of social justice positions nurses to constructively intervene in promoting the health and well-being of LGBTIQ youth in the face of social homophobia.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.344
Threshold uncertainty score0.963

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.060
GPT teacher head0.381
Teacher spread0.321 · 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 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

Citations67
Published2010
Admission routes2
Has abstractyes

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