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Record W6989584347

Best Laid Birth Plans: A Relational Analysis of the Legal Rights of Birthing People in Canada

2024· article· en· W6989584347 on OpenAlexaboutno aff

Bibliographic record

VenueeYLS (Yale Law School) · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicFeminism, Gender, and Sexuality Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCraftContext (archaeology)Relational theoryChildbirthCivil rightsHuman rightsCommon lawFeminismRight to privacy
DOInot available

Abstract

fetched live from OpenAlex

While it is trite law in Canada that patients have the right to make their own medical decisions, news reports, regulatory complaints, and civil claims indicate that this right is failing to translate to delivery rooms. This thesis examines the gaps between the legal rights of birthing people in Canada as they exist “on the books” and the way those rights are experienced, using the critical theory of Law in Action. Building on feminist critiques of the traditional liberal conception of autonomy, this thesis conceptualizes childbirth as an experience deeply embedded in relations to others and concludes that to close the gaps between legal rights and lived experiences, we must craft law and policy in a manner that accounts for the broader relational context in which childbirth occurs.

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)0.003
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.159
Threshold uncertainty score0.976

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0360.021
Scholarly communication0.0090.003
Open science0.0020.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0070.000

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 head0.024
GPT teacher head0.280
Teacher spread0.256 · 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 designNot applicable
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
Published2024
Admission routes1
Has abstractyes

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