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Record W7133036758

Trans Youth’s Family Lives Where Law Meets Science

2023· dissertation· W7133036758 on OpenAlexafffundabout
Florence Ashley

Bibliographic record

VenueTSpace · 2023
Typedissertation
Language
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsUniversity of Toronto
FundersUniversity of Toronto
KeywordsAutonomyPower (physics)ScholarshipSociology of scientific knowledgeSWORDSociology of law
DOInot available

Abstract

fetched live from OpenAlex

This dissertation examines how Canadian courts deploy scientific authority as an epistemic and discursive resource to allocate power and shape the autonomy of trans youth within the family. To understand how courts use scientific authority, I draw on the conceptual tools of trans-affirmative scholarship—most notably the notions of cisnormativity and transnormativity—and on the sociological theory of medicalization. By carefully analyzing the case law on social gender affirmation and parental behaviour towards trans youth, I demonstrate that scientific authority acts as a double-edged sword in the legal lives of trans youths. On the one hand, scientific authority secures limited forms of social gender affirmation. On the other hand, judges’ deployment of scientific authority medicalizes transitude and expands the power of healthcare professional over trans youth’s lives. Having medicalized transitude, family law seeks less the self-determination of trans youth than their management. This dissertation contributes to the growing body of legal scholarship on trans youth by problematizing family law’s recourse to science and forging a path towards gender self-determination.

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)0.004
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 score0.478
Threshold uncertainty score0.951

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0380.018
Scholarly communication0.0070.004
Open science0.0010.007
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0080.001

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 head0.073
GPT teacher head0.447
Teacher spread0.374 · 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

Citations0
Published2023
Admission routes3
Has abstractyes

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