Aesthetic Expressions of Queer Kinship in Children’s Drawings
Bibliographic record
Abstract
This article describes and discusses a transdisciplinary research project that archives children’s drawings of their lesbian, gay, bisexual, transgender, and queer + (LGBTQ+) family structures. Children with LGBTQ+ parents from Ontario, Canada, were interviewed and asked to draw a portrait of their family. The drawings and related interviews have provided empirical data with which to generate theory about their subjective realities. Analysis rests in two locations: the act of a child drawing and the adult’s collective witnessing of the drawings. In asking what new forms of kinship can be symbolically elaborated in their drawings, we have worked with the children to cultivate representations that re-figure notions of family so that a multiplicity of attachments and forms of cohabitation are better understood. Our analysis employs affect theory, psychoanalysis, and arts-based research methods, with emphasis on the socio-political significance of aesthetic expression.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".