Relations familiales et non-binarité : parcours de vie de jeunes adultes non binaires au Québec
Bibliographic record
Abstract
Research Framework: Based on the life course of young adults with a non-binary sexual orientation or gender identity, this article uses the concepts of intelligibility and chosen family from a queer perspective to analyze the family relationships of these individuals with identities still largely socially misunderstood.Objectives: This research thus seeks to explore the construction of chosen families among non-binary young adults with good or bad relations with their family of origin, to analyze the relationship they have with their family of origin and their chosen family, and to examine the impact of the (mis)understanding of the family of origin on the creation of a chosen family.Methodology: Two semi-structured interviews based on life course theory were conducted with 10 young adults self-identifying as non-binary aged between the ages of 18 and 30 and living in the Montreal area.Results: This study allows us to realize that whether their relationship is perceived as good or bad with their family of origin, non-binary young adults will tend to form a chosen family that will fully understand and accept their identity, unlike their family of origin.Conclusions: Misunderstanding of non-binary identities in our society affects the relationships of non-binary young adults with their family of origin and influences their decision to create a chosen family.Contribution: This article addresses some of the gaps in the scientific literature on the family relationships of people with diverse genders and sexualities. Indeed, very few articles are specifically interested in non-binary people.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".