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Record W4220721487 · doi:10.1080/00918369.2022.2049025

Intersectional Analysis of the Life Course of LGBTQ+ Parent Families in Québec: Partial and Homonormative Inclusion

2022· article· en· W4220721487 on OpenAlexafffundabout
Marianne Chbat, Isabel Côté, Geneviève Pagé, Martin Blais

Bibliographic record

VenueJournal of Homosexuality · 2022
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsUniversité du Québec à MontréalUniversité du Québec en Outaouais
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsInclusion (mineral)Life course approachPsychologyQueerSociologyGender studiesDevelopmental psychology

Abstract

fetched live from OpenAlex

Over the past 20 years, Québec has seen significant legislative changes that have led to an increase in the number of families with LGBTQ+ parents. Moreover, Québec has been a pioneer in recognizing LGBTQ+ families since 2002 with Bill 84. In fact, no nation had gone as far in terms of recognition. However, despite this avant-garde legal context, which has made it possible for many same-sex couples to establish their families with greater ease and recognition, unequal access to this institution still affects LGBTQ+ parents. In fact, these parents do not all experience the same realities, and the possibilities for forming a family remain complex for many, especially for trans and non-binary parents. Based on 38 in-depth interviews with LGBTQ+ parents, this article explores the multiple forms of families and the different experiences of oppressions these families encounter based on their different social locations. These data are part of the important SAVIE-LGBTQ research partnership (SSHRC 2016-2023), which aims to identify the different experiences of inclusion and exclusion encountered by LGBTQ+ communities in Québec.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.046
Threshold uncertainty score0.336

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0150.003
Scholarly communication0.0040.002
Open science0.0010.004
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 head0.036
GPT teacher head0.381
Teacher spread0.345 · 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 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

Citations7
Published2022
Admission routes3
Has abstractyes

Explore more

Same venueJournal of HomosexualitySame topicLGBTQ Health, Identity, and PolicyFrench-language works237,207