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Record W3123040789

Suppressing Damages in Involuntary Parenthood Actions: Contorting Tort Law, Denying Reproductive Freedom, and Discriminating Against Mothers

2014· article· en· W3123040789 on OpenAlexaboutno aff
Bruce Feldthusen

Bibliographic record

VenueeYLS (Yale Law School) · 2014
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsDamagesTortLawPsychologyPolitical scienceLiability
DOInot available

Abstract

fetched live from OpenAlex

"Involuntary parenthood" actions are negligence actions, usually medical malpractice cases involving a failed sterilization, inadequate warning about the risks of pregnancy, or a failed abortion. In Canada, they will soon also involve product liability claims against negligent birth control manufacturers, providers and regulators. This article considers whether the parents' damages ought to include the cost of raising the child. No Canadian appellate court has ever ruled on this point, although it has been adjudicated extensively by the highest courts elsewhere in the common law world. At least 7 different rules limiting such recovery have been endorsed in the Canadian lower courts. Most of the limiting rules are unique to involuntary parenthood cases, deviating from the outcome that would prevail were the standard rules of negligence law applied. Many have no rational foundation. This article concludes that the failure to compensate parents for the cost of raising the child cannot be justified. Rather the refusal to compensate for reasonable child rearing expenses constitutes discrimination against parents, especially women who are mothers. This discrimination is sometimes, perhaps often, perpetrated by judges who refuse to accept and protect a woman's right to reproductive freedom. These mothers are under-compensated, and the medical establishment that failed them is under-deterred.

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)0.003
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 score0.083
Threshold uncertainty score0.984

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.032
GPT teacher head0.304
Teacher spread0.272 · 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
Published2014
Admission routes1
Has abstractyes

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