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Record W1822828451 · doi:10.1111/capa.12066

Invisible populations: <scp>LGBTQ</scp> people and federal health policy in <scp>C</scp>anada

2014· article· en· W1822828451 on OpenAlexaff
Nick J. Mulé, Miriam Smith

Bibliographic record

VenueCanadian Public Administration · 2014
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsYork University
Fundersnot available
KeywordsDiversity (politics)Political sciencePublic policyHealth policyPopulationState (computer science)Public administrationPublic relationsHealth careLawEnvironmental healthMedicine

Abstract

fetched live from OpenAlex

Abstract This article reviews the state of federal health policy discourse toward the LGBTQ population in C anada. Despite the advent of greater attention to diversity and gender mainstreaming in federal public policy and the shift to legalized rights protections for LGBTQ people, symbolized by policies such as same‐sex marriage, LGBTQ health concerns continue to be marginalized in federal health policy. Based on a systematic review of federal policy documents and websites as well as a small number of interviews with federal policy‐makers, the research demonstrates the extent to which LGBTQ health concerns are rendered invisible in federal health policy. The article suggests several ways in which a commitment to gender‐based policy analysis could be expanded to take account of diverse health needs of LGBTQ Canadians.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.539
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.041
GPT teacher head0.347
Teacher spread0.306 · 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 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

Citations16
Published2014
Admission routes1
Has abstractyes

Explore more

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