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Record W2132473126 · doi:10.25071/1916-9272.19130

Wrongful Life and Wrongful Birth: The Devaluation of Life with Disability

2009· article· en· W2132473126 on OpenAlexaff
Jennifer Rinaldi

Bibliographic record

VenueThe Journal of Public Policy Administration and Law · 2009
Typearticle
Languageen
FieldPsychology
TopicHealthcare Decision-Making and Restraints
Canadian institutionsYork University
Fundersnot available
KeywordsDevaluationWrongful deathPsychologyEconomicsPolitical scienceLawMonetary economicsCurrency

Abstract

fetched live from OpenAlex

In this article, the author argues that both wrongful life and wrongful birth suits promote attitudes that devalue the lives of people with disabilities. She begins by accounting for the nature and history of wrongful life and wrongful birth suits and presents key cases for each kind of suit. She moves on to argue that in wrongful life suits, the plaintiff must claim that non-existence is preferable to a life with disabilities. The defense and acceptance of such a claim contribute to the conceptualization of life with disability as a personal tragedy. In the wrongful birth cases analysed by the author, parents argue that they would have terminated their pregnancies if properly informed of the impairment-related risks. In light of the parents' admission, the author argues that in suits of this nature, the injury to parents is the child born, not the deprivation of informed choice. While parents are forced to take up the language of harm and burden – language that reinforces ableism – to qualify for the financial compensation awarded in wrongful life and wrongful birth cases, the responsibility for improving the lives of disabled people should be borne by society and taken up as a human rights issue.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.897
Threshold uncertainty score0.216

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.081
GPT teacher head0.405
Teacher spread0.324 · 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

Citations5
Published2009
Admission routes1
Has abstractyes

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