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Record W4412654340 · doi:10.1111/jmft.70057

Intragenerational Support for Gender‐Questioning and Trans Youth: Centering the Sibling Subsystem in Affirmative Systemic Therapy

2025· article· en· W4412654340 on OpenAlexaffabout
Anaïs Cadieux Van Vliet, Marjorie Rabiau

Bibliographic record

VenueJournal of Marital and Family Therapy · 2025
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsMcGill University
Fundersnot available
KeywordsSiblingInclusion (mineral)PsychologyConversationGlobeSystemic therapyDevelopmental psychologyIdentity (music)Family therapyPsychotherapistSocial psychologyMedicine

Abstract

fetched live from OpenAlex

Affirmative systemic therapy (AST) is an emerging trend in family therapy for accompanying families with a gender questioning, nonbinary, or trans child. Simultaneously, research from across the globe reports that the inclusion of siblings and the focus on the sibling subsystem are often lacking in systemic work. The authors write from a shared Canadian perspective toward expanding the inclusion of siblings of gender diverse young people in therapy. Siblings may serve as early sources of self-disclosure and exploration surrounding gender identity for young gender questioning and trans individuals. Siblings may also play important roles as mediators, educators, and advocates among peers and family, given their shared generational zeitgeist. Through a case study, we exemplify the importance of involving the sibling subsystem while working with gender diverse families. More specifically, we begin by focusing on obstacles to the inclusion of siblings in affirmative systemic therapy. Then, we discuss strategies toward better inclusion and integration, namely, systemic approaches and techniques for working with the sibling subsystem with a focus on the theme of gender creativity, transition, or questioning. In this article, we advocate for the greater inclusion of siblings in family therapy generally, and hope to contribute to an ongoing conversation by illustrating some techniques for working with the sibling subsystem, in AST more specifically.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.302
Threshold uncertainty score0.356

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.072
GPT teacher head0.350
Teacher spread0.278 · 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

Citations2
Published2025
Admission routes2
Has abstractyes

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